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Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.   Xometry is adding a Senior Computer Vision Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data.  Responsibilities: Use data science and machine learning principles to develop effective predictive models using 3D data Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake and MongoDB) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Requirements: Bachelor’s degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or PhD in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder (ITAR)  #LI-Hybrid Here at Xometry we believe in diversity, equity, inclusion and belonging. We are committed to welcoming, respecting, and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight. Senior Machine Learning/Computer Vision Engineer Parallel Systems is seeking an experienced Machine Learning Engineer to help build the next generation of perception systems powering our fully autonomous, battery-electric rail vehicles. In this role, you'll take ownership of designing and deploying cutting-edge deep learning models that enable our vehicles to perceive and reason about complex, real-world environments. From handling adverse weather and ambiguous signals to navigating multi-agent interactions on active railways, your work will directly shape the safety and reliability of our autonomous platform. You'll collaborate closely with top-tier engineers across autonomy, robotics, and systems, tackling some of the most challenging problems in real-time machine learning and computer vision. If you're excited by the opportunity to push the boundaries of AI in safety-critical, real-world applications, we'd love to work with you. This role requires at least one week a month or more in our LA office per month. Responsibilities: Design, develop, and deploy advanced machine learning models for large-scale perception problems. Own the full ML lifecycle-from data mining and annotation to training, evaluation, and deployment of production-grade models. Build and optimize deep learning architectures for object detection, segmentation, tracking, pose estimation, and scene understanding. Develop scalable and efficient training pipelines that ensure robust, real-time inference performance. Work extensively with large image, video, lidar and radar datasets to power next-generation computer vision systems. Conduct research and empirical studies to evaluate new architectures, techniques, and algorithmic improvements, incorporating or adapting state-of-the-art methods as appropriate. Build and contribute to infrastructure and tools for supporting ML Pipeline to automate data labeling, training workflows, evaluation processes, and model versioning. Collaborate cross-functionally with other engineering, research, and product teams to ensure seamless integration of ML systems into real-world applications. What Success Looks Like: After 30 Days: You have developed a deep understanding of the current perception architecture, sensor setup, and system requirements. You've identified key challenges in the ML pipelines and proposed initial areas for improvement across data workflows, model performance, and deployment constraints. After 60 Days: You've led the design of a new or improved perception subsystem and contributed hands-on to ML pipeline tooling. You've built a proof of concept aligned with system needs, demonstrating early improvements in performance or reliability based on real-world constraints. After 90 Days: You have delivered a perception feature with a proven working model in offline testing, showing measurable gains. The system is integrated into the pipeline and is progressing toward edge deployment, with a clear impact on overall perception capabilities. Basic Requirements: Bachelor's or higher degree in Computer Science, Machine Learning, or a related technical discipline. 4+ years of hands-on experience developing and deploying ML systems at scale. Strong background in computer vision and/or deep learning with practical experience in designing and training neural networks for real-world applications. Proficiency in Python and familiarity with standard ML libraries and tools (e.g., NumPy, SciPy, Pandas). Expertise in at least one deep learning framework such as PyTorch or TensorFlow. Strong mathematical foundation in linear algebra, geometry, probability, and optimization. Proven track record of working autonomously and driving complex technical projects in fast-paced environments. Excellent communication and collaboration skills, with experience working on interdisciplinary teams. Preferred Qualifications: Experience with multi-modal perception (e.g., sensor fusion from cameras, lidar, radar). Experience optimizing models for deployment on edge devices with real-time constraints. Background in autonomous systems, robotics, or other safety-critical domains. Publications in top-tier ML or CV conferences (e.g., CVPR, ICCV, NeurIPS, ICML, ECCV). Experience with GPU/TPU programming and optimization tools (e.g., CUDA, TensorRT). Knowledge of low-level programming languages like C++ or Rust. Experience working directly with sensing hardware and understanding its constraints. We are committed to providing fair and transparent compensation in accordance with applicable laws. Salary ranges are listed below and reflect the expected range for new hires in this role, based on factors such as skills, experience, qualifications, and location. Final compensation may vary and will be determined during the interview process. The target hiring range for this position is listed below. Target Salary Range: $150,000-$240,000 USD Parallel Systems is an equal opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to any discriminatory factor protected by applicable federal, state or local laws. We work to build an inclusive environment in which all people can come to do their best work. Parallel Systems is committed to the full inclusion of all qualified individuals. As part of this commitment, Parallel Systems will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your recruiter.

Adjunct Faculty are hired each semester on an as-needed basis. Adjunct Faculty are responsible for creating a learning environment that assists students in reaching their goals; and for providing effective instruction and assessment within the framework of common syllabi provided. Major Responsibilities: Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives by conducting the following: Makes optimal use of available technology to enhance instructional methods. Develops/maintains course outlines, syllabi, lesson plans, assignments, tests, and materials. Maintains accurate student records, grades, and other requirements. Engages with students in meaningful and productive ways that impact student learning and leads to a positive experience with Ivy Tech Community College, shows evidence of developing and implementing active classroom teaching strategies focused on engaging students with their learning (curricular). Interacts with students and co-workers in a professional and cooperative manner, complies with College policies, campus guidelines and expectations. Ensures knowledge of and implements emergency and safety procedures for classrooms, labs and all learning environments. This is not to be construed as an exhaustive list. Other duties logically associated with this position may be assigned. All responsibilities will be conducted within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. SUPERVISION RECEIVED: Department Chair for the School of Information Technology SUPERVISION GIVEN: None Minimum Qualifications: A qualified faculty member in computer information systems is one who: Possesses an earned master's degree or higher from a regionally accredited institution in computer information systems, management information systems, information technology, computer science or a computer-related degree as appropriate to the course and/or specialty being taught; OR Possesses a related or out-of-field master's degree, from a regionally accredited institution, with documented 18 semester hours or equivalent of courses in a computer, business, mathematics, or engineering-related field as appropriate to the course and/or specialty being taught beyond the introductory principle(s) level; OR Possesses a bachelor's degree in mathematics, engineering, or business/computer related field from a regionally accredited institution as appropriate to the course and/or specialty being taught with documentation in two or more areas of: Professional certification (national, regional, or state) in the field Two years of in-field professional employment Documented evidence of teaching excellence, including date of award Documentation of research and publication in the field Documented relevant additional coursework beyond the bachelor's degree, equivalent to 18 semester hours or equivalent subject matter coursework, CEU's, vendor, or military. Must demonstrate ability to promote an inclusive environment that reflects the broad diversity and backgrounds represented by our students and employees and which every individual feels respected and valued. Preferred Qualifications: Two years of in-field professional experience with Amazon AWS or Microsoft Azure Working knowledge of Linux operating system. Current CompTIA A+, Net+, or Sec+ certification Extensive knowledge of virtualization Other Requirements: Selected candidate for employment will be subject to pre-employment background checks, including criminal history check, and any offer of employment will be contingent upon that outcome. Please attach a copy of your Resume, Cover Letter, and an Unofficial copy of your Collegiate Transcripts. Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Job Description Summary Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary: Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern or co-op! You'll build professional and technical skills in an aerospace systems & defense role working on challenging, real-world problems to design aerospace systems for commercial and military applications & support through service life. Build relationships with interns/coops and leaders and prepare for a potential full-time position after graduation in one of our fantastic leadership programs or a direct hire opportunity. You will gain broad exposure to the engineering field with an array of opportunities ranging from design & analysis to working hands-on with aerospace systems. Ultimately, you'll be placed taking your preferences into account while also considering your major, year of schooling, and business needs at the time of placement. Essential Responsibilities: An Aerospace Systems & Defense intern/co-op may experience work in the development of engine controls, navigation, & guidance systems; gas turbine engine components; electrical power systems; mechanical systems; vehicle health & data management systems; mission systems; computing systems; and platform systems integration. Responsibilities may include design, analysis, development, and testing, writing software requirements, software testing, simulation, tool development and product/program support. Qualifications/Requirements: Due to the nature of our projects, US Citizenship is required. Minimum 3.0 cumulative GPA off a 4.0 scale without rounding. Attending a full time matriculated and nationally accredited baccalaureate or graduate program in engineering (degrees accepted: Computer Engineering, Electrical Engineering, Electrical & Computer Engineering). Willingness and ability to work in the United States; primary locations are: Grand Rapids, MI; and Clearwater, FL. Reliable transportation, many of our sites do not have public transportation available. Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Due to the nature of our projects, US Citizenship is required. Desired Characteristics: A solid commitment to a career in technology and a passion for engineering Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with honesty, contributes constructively Focused: quick learner, strategically prioritizes work, committed, and takes initiative Leadership ability: strong communicator, decision-maker, and collaborative teamwork Problem solver: analytical-minded, challenge existing processes, critical thinker Strong knowledge of computer and Microsoft products Proficiency in at least one programming language Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

Prime Time Consulting, a GRVTY Company, provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government. Computer Network Defense Analyst We are actively searching for Computer Network Defense Analysts (CNDAs), located in Alaska, to support our team. We have varying levels of CNDAs, depending on years of experience and education. Duties Conduct computer network defense. Conduct target development for use or decision by Government personnel. Analyze and produce intelligence information. Conduct computer/network security to provide advice to the Government. Create and maintain documentation of their analysis. Ensure to routinely follow oversight and compliance Acquire/share job knowledge/skill Partner with team members on the contract, including government personnel and other partner companies Qualifications Degree in Computer Science or equivalent technical field Level 1 - 6 years of experience can replace 2 years of experience with AA degree Level 2 - 9 years of experience can replace 4 years of experience with BS degree Level 3 - 12 years of experience can replace up to 6 years of experience with MS degree Level 4 - 15 years of experience can replace up to 9 years with Doctorate degree Strong communication skills Works well in a team and alone Working knowledge of Microsoft Office Suite Company Perks Health Savings Account with company contribution Annual Paid Time Off and Paid Holidays Paid Parental Leave 401k with generous company match Training and Development Opportunities Award Programs Variety of Company Sponsored Events Prime Time Consulting, a GRVTY Company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email [email protected] with requested details. A member of the HR team will respond to your request within 2 business days. Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Berkeley College is seeking highly qualified and motivated instructors to teach Computer Information System and Information Technology courses and to support its vision of becoming the college of choice for students pursuing lifelong success in dynamic careers. Berkeley College has a diverse student population across its New York and New Jersey locations. Salary Range: $3,330.00- $3,780.00 per course/semester. Faculty Responsibilities: Engage in the classroom and reply to student emails, questions, and discussions on a timely basis. Be a faculty leader in your classes embracing USDLA Quality Standards. Evaluate and grade students' class work, assignments, and papers on a timely basis and provide effective feedback to guide student learning and success. Comply with Berkeley College guidelines and expectations for quality faculty engagement online. Participate in professional development to enhance teaching skills. Attend discipline specific and administrative meetings as scheduled. Maintain 'discipline' knowledge by participating in one's own discipline-related professional communities. Support Berkeley College initiatives and departments. Job Requirements: A master's degree and other appropriate credentials, if applicable. Experience using Python, R and SQL preferred for Information Technology courses. Demonstrated success in teaching at an institution of higher education, preferred. A willingness to teach on campuses in NY or NJ or online. An ability to teach classes during the day, or evening, if needed. Comfortable using technology and Microsoft suite, especially Excel. Experience using a Learning Management System such as Canvas, preferred. Will train. We are only accepting applications from candidates who reside in New York, New Jersey, Connecticut, and Florida, now and during the course of employment with Berkeley College. Berkeley College is an Equal Opportunity Employer and considers applicants for all positions regardless of race, color, religion, creed, gender, age, national origin, marital and veteran status, disability, sexual orientation, gender identity or expression, or any other legally protected status. We believe in fostering tolerance, acceptance, and understanding in our community, by employing individuals who bring unique perspectives to the College.

Teaching qualifications may be different depending on requirements for a degree and/or course type. This department offers both technical and transfer degrees/courses. To instruct technical courses, relevant work experience, degree, industry-recognized credential/certification, professional development, and achievements may all be considered to meet qualification requirements. To instruct transfer courses, the candidate must hold a Master's degree in that discipline or a Master's degree in another discipline plus 18 graduate hours in the particular discipline to be taught. Prepared applicants may be considered for the following department areas of study: Agriculture (Agriculture, Agricultural Diesel Mechanics, Farm and Ranch Management, & Pre-Veterinary Medicine) Business (Accounting, Business Administrative Technologies, Business Administration, & Business Management and Entrepreneurship) Computers (Pre-Professional Architecture, Computer Drafting Technology, Computer Science, Computer Support Specialist, Management Information Systems, Networking, CybeSecurity, & Web Development) Cosmetology Industrial Technology (Automation Engineering Technology, Automotive Collision and Refinishing, Automotive Technology, Construction Technology, Heating, Ventilation, Air Conditioning and Refrigeration, Industrial Electrical Technology, Industrial Mechanical Maintenance, Machine Technology, Manufacturing Engineering Technology, Renewable Energy Technology, & Welding Technology) Visual Media Design (Animation and Game Development, Graphic Design/Web Technologies, Journalism & Media Communication and Production) RESPONSIBILITIES: Essential Functions - Teach assigned courses in one of the above listed disciplines. Plan and implement appropriate activities to supplement instruction. Maintain records and files as requested by the department, including submitting grade sheets in a timely manner. Logon to the learning management system daily, respond to emails regularly and successfully complete the responsibilities of the position. Arrive on time for work, attend work regularly, and successfully complete the responsibilities of the position. Comply with HutchCC policies, procedures and practices. Secondary - Perform other responsibilities as QUALIFICATIONS: To instruct transfer courses, a Master's degree in discipline is required or a Master's degree in another field may be considered in addition to a minimum of 18 graduate credits in discipline for which hired. College teaching experience preferred. Ability and willingness to teach via alternative delivery systems. Ability to develop and maintain effective professional replationships. Ability to communicate professionally with individuals from diverse ethnic, racial, socioeconomic, gender and disabilities populations. Physical requirements include: excellent written, verbal and listening communication skills; ability to understand words and respond effectively and appropriately; visual acuity to view a computer terminal; use appropriate judgment and apply tact and courtesy in difficult situations; light/indoor work environment. Mental requirements include the ability to learn and comprehend basic instructions about the position. Physical and mental qualifications must be performed with or without a reasonable accommodation. The qualifications listed are guidelines for selection purposes; alternative qualifications may be substituted if sufficient to perform the duties. SALARY and STATUS: The salary is based on the part-time faculty compensation plan. This part-time position is not benefit eligible; exempt. APPLICATION: If you have questions regarding this position, please submit an email that contains your questions to: hrinfo@hutchcc.edu Each application shall remain on file for two years from date of application. Each applicant should understand that a position may not be available at this time and an application may be considered for potential future positions. The hired candidate will be required to submit official, non-issued to student, transcripts.

About the Job The primary responsibility of the Affiliate (Adjunct) Professor of Computer Information Systems (CIS) is to engage students in the College of Undergraduate Studies with a meaningful and effective teaching style. This includes staying up-to-date on the latest CIS developments, employing a variety of teaching techniques, showing dedication and caring for student learning, as well as incorporating the Christian faith and worldview in classrooms. This faculty member will teach 100-500 level courses within the field of CIS. Courses include Advanced Programming, Data Communications and Network Management, Advanced Database Administration and Implementation, Web Design, and others found on the CCU website. Classes are Mondays and Wednesdays or Tuesdays and Thursdays, pay is $3000 per 3-credit course, and this position begins Fall 2021. This is not an online teaching position. Applicants for this role must be able to teach courses in-seat at CCU's main campus in Lakewood, Colorado. Job Location Fully on-site - must reside and work legally in the U.S. Regular work location: Lakewood, Colorado About CCU Colorado Christian University is the premier interdenominational Christian university in Colorado and the Rocky Mountain region, delivering world class education to thousands of students. The fully accredited, nonprofit University is located in Lakewood, Colorado, a suburb of Denver. Colorado Christian University was founded in 1914 on two principles - grace and truth. CCU's scriptural foundation comes from John 1:17: For the law was given through Moses; grace and truth came through Jesus Christ. (ESV) CCU's mission is Christ-centered higher education transforming students to impact the world with grace and truth. A leader in higher education, the University has been consistently ranked in the top 2 percent of colleges and universities nationwide for its core curriculum by the American Council of Trustees and Alumni. CCU has had nine consecutive years of enrollment growth and has been named one of the five fastest-growing master's granting universities by The Chronicle of Higher Education. CCU offers more than 200 degree program options for traditional and adult students through its College of Undergraduate Studies and College of Adult and Graduate Studies. More than 9,000 students attend the University on the main campus, in regional centers throughout Colorado, and online. Scripture states all Christians are called to serve Christ and to minister to others. Because Christians are individuals with different gifts and callings, we serve Christ in a variety of ministry vocations. CCU invites you to explore how you may use your calling and gifts at the University. What is most appealing about working at CCU? Faith-friendly: CCU's culture is unique to higher education. Where else can you pursue academic excellence yet read the Holy Bible, pray with teammates and students at work, and work to impact our culture in support of Christian values? Convictionally Christian: As a university, we have an enduring commitment to Christ, his kingdom and the truth of God's Word. Live out your calling: We are a traditional evangelical university where you can invest your God-given talents and abilities alongside coworkers and teammates, while having a profound influence on students as they deepen their relationship with Jesus Christ. Equip students for kingdom work: You can be a part of helping students discover their callings and preparing them for positions of significant leadership in the church, business, government, education, and other professions, as a key part of our University's Strategic Priorities. We're looking for candidates who have: A master's or doctoral degree in Computer Information Systems or related field from an accredited college/university. A master's degree is required. Experience and/or certification in one/some of the following skill sets: C#, HTML/CSS3/JavaScript, Python, ASP.NET, MVC, SQL Server, T-SQL DDL/DML, SSIS, data warehouse concepts and design, Windows Server, networking, administration, TCP/IP, DHCP, DNS, routing, project management, and cloud-based technologies (AWS, Azure). Three or more years of successful teaching experience in a college or university is preferred, with a proven track record of student learning and engagement through previous classroom evaluations by students or faculty administration. Demonstrated superior oral, interpersonal, and written communication skills. Passion for Christ-centered higher education and dedication to the integration of faith and learning in the business fields. Deeply committed to student success. Proficiency in appropriate Microsoft Office applications (Word, Excel, PowerPoint), and ability to use appropriate software/technology such as a collegiate learning management system (LMS) in the learning environment. Commitment to learning new ideas for classroom presentations and dynamic class interactions to engage student learning in a meaningful way. Key Job Duties Contribute to CCU's mission: Christ-centered higher education, transforming students to impact the world with grace and truth. The School of Business faculty contribute to the University's mission in the classroom and beyond by participating in our Christ-centered community; promoting exemplary academics to foster professional competence; and engaging in spiritual formation, with the express intent to prepare students to transform their professions, churches, and communities. Advocate for CCU's mission, traditional Christian beliefs, and the Strategic Priorities. Teach assigned undergraduate courses in accord with all standard policies and procedures within the School of Business and Leadership using a variety of best-practice teaching and learning strategies, including classroom and online technology, to enhance instruction. Develop, implement, evaluate, and revise assigned course curriculum, teaching-learning practices, and assessment of program and student learning outcomes related to knowledge and competency. Advise and mentor SBL students and be available to individual students for formal consultations and informal mentoring (can be done remotely). SBL professors are all "Practitioner Professors" and each must demonstrate strong prior and ongoing experience in the general field of business. Collaborate with the Dean of the School of Business and Leadership with other duties as assigned. Work Environment While performing the duties of this job, you may be required to walk, stand, sit, reach with hands and arms, balance, stoop, speak with clarity, and have appropriate vision and hearing capabilities. The employee must occasionally lift and/or move up to 25 pounds. The employee may work occasional irregular hours, including some nights and weekends. Regular public presentations to students, parents, and external constituents required. Colorado Christian University expects all faculty and staff to become a part of the University community by participating in activities and events that occur on the campus throughout the year, which may occur during evenings and weekends.

About xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. About the Team The Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today. The team will build the base towards the goal of Macrohard - an autonomous AI software company. About the Role In this role you will: Build the best in class Computer Use Agents focussing on automating repetitive processes, building and testing software, performing long-horizon tasks (e.g. research, plan and execute on a complex task). Design RL algorithms, reliable and efficient tools for agent to learn by interacting w/ realistic environments. Work closely with the team to acquire data, build relevant evaluation suites and good product experience. Exceptional candidates may have: Extensive experience developing and implementing reinforcement learning (RL) algorithms for intelligent agents, with a focus on agent-based systems. Proven expertise in designing and training purely vision-based RL agents or algorithms, leveraging visual inputs for decision-making. Demonstrated ability to translate research ideas inspired by real-world use cases into deployable models or agents, successfully delivering them to end users. Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("phone interview") during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

Team Description: Our computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms, such as VIAME and Telesculptor. About the Projects: Kitware's 3D computer vision team develops algorithms and open source applications for photogrammetry: reconstructing 3D models of objects from images and video. Current 3D projects have an emphasis on aerial and satellite imagery sources, but capabilities are often adapted to other problem domains. These projects have created and continue to support the development of TeleSculptor, an open source application for aerial 3D reconstruction built on KWIVER, and Danesfield, an open source Python framework and web application for urban 3D modeling from satellite imagery. Our 3D vision research projects support the continued development of these tools, development and publication of new cutting edge 3D reconstruction and camera calibration algorithms, and opportunities to leverage 3D vision to assist with broader computer vision topics. The team is exploring how 3D vision algorithms can aid in object detection and tracking, change detection, super resolution, video compression, super resolution, and various other problems. We frequently explore opportunities to adapt our work to new customers with new challenges and new data domains such as underwater imagery or synthetic aperture radar. Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. In this case, you will have the opportunity to contribute your skills to projects focused on national security, making a difference on a daily basis to protect our country. Research and Development Engineers at Kitware also enjoy benefits commonly associated with a position in academia, such as support and encouragement for the publication of novel work. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, NVESD, NOAA, ONR, other branches of the US military, and multiple members of the Intelligence Community on a range of efforts including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities, and to provide flexible, high-quality technical solutions. If you've used CMake, ITK, or VTK, you know our work and the impact it has on the communities we help build. In This Position You Will: Conduct research and develop solutions for problems related to camera calibration, registration, and 3D reconstruction from images Contribute to the development of open source software such as TeleSculptor, KWIVER, or Danesfield Collaborate with other researchers to brainstorm ideas and peer review work Prepare and present research findings to customers and collaborators Enjoy support and encouragement for participation in national and international conferences (such as CVPR, ICCV, ECCV, WACV, and 3DV) Be encouraged to seek funding to grow and develop your own research areas, if you desire Required Qualifications PhD in Computer Science or related field Experience using multiview geometry to develop algorithms for building 3D point clouds or meshes from imagery or video Experience with AL/ML methods for 3D reconstruction or camera calibration Experience with good software development practices and proficiency in C++ and/or Python Strong publication record in top-tier research publications and conferences such as CVPR, ICCV, and ECCV Highly innovative and demonstrated track record for solving difficult technical challenges using imagery Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment Candidates should include a detailed list of publications as part of their resume/CV Due to contractual restrictions, only US Citizens will be considered for this position If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance Preferred Qualifications: Experience with geospatial coordinates systems and transformation is desirable, but not required $155,000 - $215,000 a year Company Description: Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified. Additional Information: Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. For more information on our benefit offerings please visit: https://www.kitware.com/careers/ . Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property. Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Interim-Part-Time Department Chair for Computer Technologies provides academic and operational leadership to support the programs, faculty, and students within the department. This position is designed for an experienced faculty member with strong familiarity with online and hybrid instructional models, academic processes, adult learners, and a student-centered mission. The Chair works collaboratively with the Associate Dean and other School of Technology leadership to coordinate teaching assignments, oversee course quality and development, and ensure the smooth operation of programs. The role combines administrative oversight with active engagement in curriculum planning, faculty support, and quality assurance to maintain excellence across all Computer Technology programs. Primary Responsibilities Department Leadership and Administration Serve as liaison and primary point of contact for faculty within the Computer Technologies department. Oversee term-based operations, including course scheduling, faculty assignments, and textbook review coordination. Support faculty onboarding, training, and communication to ensure teaching excellence and consistency. Coordinate monitoring course quality, implementing updates, and collaborating with Instructional Design and Development (IDD) for fixes,improvements, and course development. Contribute to department planning, program review, and assessment reporting in collaboration with the Associate Dean. Track key metrics such as course evaluation data, grading patterns, and student success indicators to inform continuous improvement. Participate in departmental and school-level meetings, initiatives, and special projects as assigned. Serve on School and University committees to support Excelsior's strategic and academic goals. Support compliance with institutional, state, and accreditation standards as applicable to departmental programs. Qualifications Master's degree in Computer Science, Information Technology, Cybersecurity, or related technical field with significant professional experience and industry certifications required; doctoral degree preferred. Demonstrated understanding of Excelsior's academic policies, instructional practices, and curriculum processes. Minimum of five years of teaching experience in higher education, with some leadership or administrative experience in an online and/or hybrid environment preferred. Strong written communication, organizational, and analytical skills. Ability to work independently while managing multiple priorities and deadlines. Experience with course development, assessment, or accreditation preferred. Commitment to diversity, equity, and inclusion in curriculum and faculty development. Excelsior CARES Values Excelsior University values Compassion, Agility, Respect, Excellence, and Service. Each employee contributes to a student-centered learning environment that prioritizes academic integrity, innovation, and inclusion. Work Environment This position is hybrid with virtual meetings and potential travel to conference and Albany, NY, for planning or training purposes. The hiring salary range for this position is $42.00 per hour. The hiring salary range above represents the University's good faith estimate at the time of posting

Computer Support Technician Employment Type: Full-Time, Entry Level Department: Information Technology As a CGS Computer Support Technician, you will provide a variety of direct assistance to USAO personnel, AUSAs, legal assistants, administrative staff, and other USAO staff. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: Requires testing, quality assurance, configuration, installation, implementation, maintenance and management of networked systems used for the transmission of information in data, voice and/or video format, ensuring systems availability, functionality, integrity, and efficiency. Contractor may be granted administrative rights at the discretion of the USAO-MN. Ensures the confidentiality, integrity, and availability of systems, networks, and data through the implementation, maintenance, and enhancement of information systems security programs, policies, procedures and tools. Provides customer support service including installation, configuration, troubleshooting, customer assistance, and training in response to user requirements. Provide IT customer support, including installation, configuration, troubleshooting, customer assistance, inventory management and/or training Assist the IT Systems Management staff in the configuration, installation, and maintenance of networked systems Performs assignments related to ensuring the confidentiality, integrity, security and availability of systems, networks and data; performs routine assignments in support of the Office intranet and internet sites, including converting content into workable web pages, checking links, repairing errors, etc. Assist in the planning, development and coordination of litigation support and case management service. Qualifications: Knowledge of operating systems, associated devices, and the interoperability of systems sufficient to install, upgrade, troubleshoot, test, and maintain those systems; to optimize the functionality and performance of systems; and to ensure the availability, integrity, efficiency, and reliability of servers. Ability to apply methods and practices for troubleshooting, recovering, adjusting, modifying, and improving systems to solve complex problems and provide support that minimizes interruptions in service to customers. Contractors should have the knowledge of the principles, methods, and practices for integrating information system components sufficient to plan, coordinate, and administer computer systems, and optimize system performance, knowledge of the latest advancements in technology to initiate corrective or preventative action to ensure optimum performance of the system. Completed atleast a high school education Ability to work in office full time M-F Ability to obtain a Public Trust security clearance Be a United States Citizen Our commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. Health, Dental, and Vision Life Insurance 401k Flexible Spending Account (Health, Dependent Care, and Commuter) Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of meaningful government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: [email protected] $40,000 - $55,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who Are We Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology. Voxel's site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC's. What You'll Do Lead State-of-the-Art Research: Invent and implement computer vision and generative AI algorithms that push the boundaries of the field. Stay abreast of the latest advances in deep learning, visual reasoning, and large-scale data processing Design Scalable Real-Time Systems: Create models that can reliably handle input from thousands of always-on video cameras, running at scale 24/7, and extract actionable insights around safety issues Collaborate with Cross-Functional Teams: Work closely with software engineering, cloud, and ML operations teams to optimize data ingestion, model retraining, and redeployment flows across large-scale infrastructures Consult on Customer Solutions: Advise Sales, Customer, and Field Engineering teams in defining and customizing solutions to meet complex client requirements Contribute to Product Evolution: Transfer research findings into production, contributing to the continuous improvement of our cutting-edge platform Drive Continuous Innovation: Shape Voxel's vision for deploying generative AI to solve industrial and enterprise-scale computer vision problems, using millions of videos to find patterns and deliver actionable insights to customers. Minimum Qualifications Educational Background:Bachelor's degree in Computer Science, Electrical Engineering, or a related field + 5 years of professional experience; OR Master's degree in a relevant field + 3 years of professional experience; OR PhD in Computer Vision, Machine Learning, or a similar area. Deep Learning & Computer Vision Expertise: Proven experience in building and deploying deep learning models (e.g., convolutional neural networks, visual reasoning architectures) for large-scale image or video analysis. Practical Experience at Scale: Hands-on track record in processing and extracting insights from large video datasets (e.g., millions of video). Research-to-Product Transition: Demonstrated ability to translate innovative computer vision, machine perception, or machine learning research into shipping products or real-world applications. Generative AI Exposure: Familiarity with generative models and techniques, with a passion for applying them to real-world computer vision and safety use cases. Collaboration & Communication: Excellent written and verbal communication skills; able to lead cross-functional discussions and clearly articulate complex technical concepts to diverse stakeholders. Preferred Qualifications Experience with VLMs or Multi-Modal Architectures: Familiarity training or fine-tuning large Visual Language models that integrate text and visual components. Video-Based Modeling: Hands-on experience building and optimizing video-focused neural networks for tasks such as activity recognition, action localization, or spatiotemporal understanding. Why Join Us? Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment. Benefits: Extensive / Generous health, dental, and vision insurance. Highly competitive paid parental leave and support system. Ownership in the business through an Equity Incentive Plan. Generous paid time off and / or flexible work arrangements. Daily meals in-office, vibrant company events, team-building. 401K retirement plan, HSA options, pre-tax Commuter Card.

About Dexterity: At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: MS or PhD in Computer Science, or a related discipline, or equivalent experience. 2 or more years of experience leading a team of Computer Vision or Machine Learning engineers. At least 5 years of experience in building ML datasets, data pipelines and serving architecture. Creating a culture of developing high quality models, tests and regressions Strong knowledge of Modern C++ and Python. Experience building, maintaining and improving production code. Nice to haves: Experience with Docker and Kubernetes. Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines. About the Role As the Head of CV and ML, you will be leading a team of highly qualified and talented Machine Learning and Computer Vision engineers working on Dexterity's computer vision and data analysis initiatives. The role will involve understanding our current products and future requirements and bringing your substantial expertise to augment the products and help us to meet the future requirements. Previous experience leading CV and ML teams to create CV models, large training sets as well as robust regression pipelines is a prerequisite for this role. We are very interested in expertise around the subfields of semantic segmentation and instance segmentation and you will be involved in keeping up to date with the latest research papers in these areas and implementing them using platforms like PyTorch or TensorFlow. Robotics data also comes in a variety of different forms that are targets for models to help us predict and analyze behaviors emerging from our robotics systems. You will oversee the overall architecture and lead development of the perfect models, in addition to identifying additional opportunities throughout our system that can be solved with machine learning. In order to thrive in this role you will have significant experience with RGBD datasets and point clouds as they are important to the type of problems you will encounter in robotics. You will have solid experience in writing optimized code in c++ and python and mentoring other developers. You will have experience architecting models, training pipelines and serving infrastructure at scale. The end to end process of gathering and augmenting data, creating balanced training/validation/regression sets, studying the performance of different models and optimizing their quality, and finally deploying and troubleshooting the models as part of a complex robotics system will be under your supervision. $160,000 - $220,000 a year Our Total Rewards philosophy is designed to recognize contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility. For this position, the expected base salary range is $160,000 to $220,000 annually. Actual compensation will be determined based on skills, experience, education, and market factors, and may vary accordingly. Final compensation decisions are made individually and take a number of factors into consideration. Eligible employees may be considered for equity awards as part of their overall compensation. Access to benefits and wellness resources is provided in accordance with company policies and may vary based on role and location. Equal Opportunity Employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Computer Network Operator Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None The Opportunity: If the idea of working with and among a team of true cyber security engineering experts with world class and unique skills excites you, then this might be the opportunity for you! Individuals with experience in or across a range of technical disciplines in IT and cybersecurity engineering possessing a strong desire to serve in a role delivering great mission impact fit in well with our team and find this role highly rewarding. Apply your skills and experience and continuously learn new things in an environment where research and experimentation are encouraged and valued. There is no substitute for applying your skills in a real-world cyber operations environment, solving incredibly challenging problems where often times a textbook answer does not exist. Creativity on top of a strong technical foundation and fundamental understanding of cyber engineering is paramount for success in this role. Be part of a department with an expanding range of programs focusing on Cyber Operations, where you get to grow on and between programs with peers who are dedicated to advancing national security. Participate in fun team outings and team building events where you get to engage with your co-workers and expand your career network. We are a fun, engaging environment with a management team focused on growing your career and making you a part of our future. We offer bonus compensation plans that demonstrate you being appreciated for working on the program and being a part of our team. You'll get paid for cyber events and training, such as our Capture the Flag Events, Internal Research and Development opportunities as well as prepaid courses to nationally recognized certification courses to grow your career. Learn more about our program here: VORPAL Jobs . Responsibilities: You will work onsite with the client doing high-end and cutting edge cyber related work with small dynamic technical teams You will open-source tools such Metasploit, BurpSuite, nmap and Wireshark as well as proprietary tools to perform red teaming and penetration testing of the client's global network You will develop technical requirements for new tools or enhancements to existing tools and become the tools "champion" throughout the tool's life cycle You will pro-actively identify, define, and advocate technical processes, approaches, and concepts to enhance/improve mission-focused efforts You will write and produce high-quality technical reports related to the scope, nature, and characteristics of the client's technical objective that are suitable for dissemination to both technical and nontechnical audiences Qualifications (a strong combination but not necessarily all of the following) Qualifications: Required: Active TS/SCI with required polygraph clearance 7 years of more of technical experience in cybersecurity discipline, computer applications, information systems, engineering, mathematics, or related field Understanding of computer network architectures Well versed in firewall technologies, proxies, ipchains, iptables, SNORT, NMAP, Wireshark, etc. Developmental knowledge of basic scripting with python (preferable), bash, perl, or Powershell Experience with and ability to train others on advanced operational techniques Understanding of telecom infrastructure and mobile and/or RF communications Experience with risk assessment, mitigation strategies, and tradeoffs in the context of cybersecurity Basic understanding of internet functionality, ISPs, and network traffic Possess at least basic level of systems administration knowledge across operating systems (Linux, Windows, Android, iOS) Demonstrated experience applying creative problem solving skills to solve hard technical challenges Ability to convey highly technical information in a clear and concise manner, both verbally and written Understanding of internet laws and regulations governing the internet Hands-on experience executing cyber operations mission sets Certification from government entities in cyber operations Decision making - must have demonstrated experience using sound judgment in a high ops tempo environment, calm, level-headed, and rational Must possess Apprentice level certifications: RIOT or FORGE. ____ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ____ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $113,200 - $237,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

JOB TITLE Adjunct Teaching Faculty | Electrical & Computer Engineering LOCATION Worcester DEPARTMENT NAME Electrical & Computer Engineering- JM DIVISION NAME Worcester Polytechnic Institute- WPI JOB DESCRIPTION SUMMARY Worcester Polytechnic Institute invites applications for the part-time position of Adjunct Teaching Faculty. The Electrical and Computer Engineering Department at Worcester Polytechnic Institute is seeking part-time adjunct faculty to teach day and/or evening ECE classes at the undergraduate and graduate levels. Part-time faculty positions are created to provide an available applicant pool for the department. Positions will be filled on an as-needed basis. Start dates will vary by course and term/semester. JOB DESCRIPTION An Adjunct Teaching Faculty will teach undergraduate and/or graduate courses with various options for on-campus, off-campus in a corporate setting, and online delivery. All topics in Electrical and Computer Engineering and Systems Engineering are of interest. Applicants should specifically identify which courses in the current ECE and/or SE curriculum would be the best fit for their expertise. An ideal applicant will hold an advanced degree in Electrical or Computer Engineering or related discipline. Prior teaching experience and/or industry experience is also valued. Compensation: $7,500 per course FLSA STATUS United States of America (Exempt) WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

Position at MTA Headquarters JOB TITLE: Computer Specialist (SW) I-III DEPT/DIV: Transportation IT Products SUPERVISOR: Manager, Product Development LOCATION: 2 Broadway, New York, NY 10004 HOURS OF WORK: (7 hours/day) Salary range: Computer Spec. (SW) 1 TWU: $99,579 - $107,924 Computer Spec. (SW) 2 TWU: $103,742 - $116,216 Computer Spec. (SW) 3 TWU: $112,029 - $126,386 Computer Spec. (SW) 4 TWU: $120,179 - $144,711 SELECTED CANDIDATE WILL BE APPOINTED TO MaBSTOA PAYROLL The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. Position Purpose: Contribute to software development methods, tools, and techniques, and apply agreed standards and tools to achieve well-engineered outcomes. Critical/Desired Skills: Asp.Net Oracle, MS SQL Server Development experience with Mobile devices Responsibilities: This class of positions encompasses highly technical or supervisory responsibilities for the design, implementation, enhancement, maintenance, and analysis of software systems performed at varying levels of difficulty and with varying degrees of latitude for independent initiative and judgment. There are four Assignment Levels within this class of positions, differing according to the complexity and sophistication of the hardware and software systems and the amount of supervision required. The following are typical assignments within this class of positions. All personnel perform related work and, when necessary, perform the duties of lower titles and Assignment Levels. Assignment Level I Under supervision, with considerable latitude for independent action or the exercise of independent judgment, is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. May supervise a unit engaged in work related to the above areas or may independently perform related work of a highly complex, technical nature. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level II Under general supervision, with wide latitude for the exercise of independent initiative and judgment, may supervise a unit engaged in systems development work of great difficulty, and is responsible for the design, implementation, enhancement, and maintenance of either the Database Management Systems, Operating Systems, Data Communications Systems, Applications, and/or related Software functions. In a multi-programming computer system, serves as the project leader performing complex staff work and the full range of computer systems analysis functions, utilizing general Software and software systems analysis in highly complex systems development projects, or supervises the activities of a number of applications programming units engaged in work of more than ordinary difficulty, complexity, and responsibility in a multi-programming electronic computer installation. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level III Under general supervision, with broad scope for the exercise of independent initiative and Judgment is responsible for the design, implementation, enhancement, and maintenance of either Database Management Systems, Operating Systems, or Data Communications Systems, Applications, and/or related software functions. Supervises the units responsible for systems development and applications programming, instructing, directing and checking the work of subordinates, or is routinely responsible for the coordination and direction of data processing projects, organized to plan and implement complex integrated software development projects in a multi-programming computer system operating in an on-line mode in a communications environment. In the temporary absence of the supervisor, may perform the duties of that position. Assignment Level IV (See Special Note Under Qualification Requirements) Under minimum direction, with the broadest scope for the exercise of independent initiative and judgment, holds senior-level technical responsibility for extremely complex and ongoing software functions related to Systems Analysis, Data Administration, Database Management Systems, Operating Systems, Data Communications Systems, On- Line Applications Programming contingency planning, evaluation, and selection of telecommunications, local area networks, computer hardware and software products, and quality assurance functions. Routinely serves as an in-house expert and authority in the aforementioned extremely complex and highly specialized areas. Coordinates multiple ongoing projects of extraordinary technical complexity, encompassing multiple areas of information processing technology. Directs major undertakings that run in a large multi mainframe data center, and/or an environment of distributed processing systems combining numerous types of hardware and software. May supervise a unit or units engaged in work related to the aforementioned complex software functions. In the temporary absence of the supervisor, may perform the duties of that position. Qualification Requirements: A baccalaureate degree from an accredited college, including or supplemented by 24 semester credits in computer science or a related computer field and two years of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, systems programming, data communications, including one year in a project leader capacity or as a major contributor on a complex project; or A four-year high school diploma or its educational equivalent and six years of satisfactory full-time computer software experience as described in "1" above, including one year in a project leader capacity or as a major contributor on a complex project; or Education and/or experience equivalent to "1" or "2" above. College education may be substituted for up to two years of the required experience in "2" above on the basis that 60 semester credits from an accredited college is equated to one year of experience. A master's degree in computer science or a related computer field may be substituted for one year of the required experience in "1" or "2" above. However, all candidates must have at least a four-year high school diploma or its educational equivalent and at least one year of satisfactory full-time experience in a project leader capacity or as a major contributor on a complex project. Special Note To be eligible for placement in Assignment Level IV, in addition to the Qualification Requirements stated above, individuals must have one year of satisfactory experience in a project leader capacity or as a major contributor on a complex project in data administration, database management systems, operating systems, data communications systems, capacity planning, and/or online applications programming. OTHER INFORMATION: Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission"). Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

About Charles River Associates Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provide clients with clear, implementable solutions to complex business concerns. Position Overview CRA's Forensic Services practice supports companies involved in litigation concerning computer technology by assisting them and their counsel in analyzing source code, software, and hardware to better understand the relevant technical issues and help resolve the dispute. We are noted for deploying cross-trained teams of forensic professionals to assist our clients in gaining deeper insights and greater value more quickly. We value knowledge of software development, system design and implementation, exceptional written and oral communication skills, a high level of initiative, and a willingness to proactively raise issues to keep projects running smoothly. We expect Consulting Associates to use their technical expertise to solve client problems, work collaboratively with a team, effectively manage their time, prioritize tasks, and take pride and ownership in their work. The opportunities to contribute to the Forensic Services team in this role may include (but are not limited to): Conduct detailed investigations of source code and systems in the context of alleged copyright infringement, patent infringement, trade secret misappropriation, software failure, and software audit matters; Leverage technical and consulting expertise to support counsel and clients in intellectual property litigation or disputes involving complex technology; Analyze and inspect source code, database schemas, system configurations, technical documentation, and other sources of technical evidence typically produced in the context of intellectual property litigation; Assist with the preparation of expert reports and declarations describing technical and analytical findings; Ensure reliability of analysis and risk management through implementing quality control measures and documentation; Participate in practice-building activities including recruiting and training. Desired Qualifications Bachelor's degree in Computer Science or other programming-focused discipline, advanced degree preferred; 2-5 years of related work experience; Experience and deep understanding of programming languages including C, Java, or Python; Strong understanding of source code analysis, binary reverse engineering, and/or hardware functional testing techniques; Familiarity with analytical tools (e.g., SciTools Understand) used to visualize and understand software code; Understanding of database administration and software development models (SDLC, Agile, etc.); Experience with drafting technical and investigative reports and communicating technical findings; No legal experience is necessary; we can teach you what you need to know in that area as long as you bring an open and curious mind. To Apply To be considered for this position, we require the following: Resume - please include current address, personal email and telephone number Career Growth and Benefits CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities. We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers. Work Location Flexibility CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team. Our Commitment to Equal Employment Opportunity Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law. Salary and other compensation A good-faith estimate of the annual base salary range for this position is $100,000 - $126,500. Stating pay within this range may vary based on factors such as education level, experience, skills, geographic location, market conditions, and other qualifications of the successful candidate. This position may be eligible for additional bonus incentive compensation. CRA offers a comprehensive benefits package, subject to eligibility requirements, which may include: medical, dental, and vision insurance; 401(k) retirement plan with employer match; life and disability insurance; paid time off (vacation, sick leave, holidays); paid parental leave; wellness programs and employee assistance resources; and commuter benefits.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Career Programs Job Sub Function: Post Doc - Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine (JJIM), a Johnson & Johnson company, is recruiting for a Postdoctoral Researcher to be located at our office in either New Brunswick, NJ; Raritan, NJ; Titusville, NJ, or Spring House, PA. Remote work options within the US may be considered on a case-by-case basis and if approved by the Company. This is an exceptional opportunity to apply Radiology AI/ML to oncology research, with the potential to significantly influence the development of novel cancer therapies. The successful candidate will work closely with interdisciplinary teams at Interventional Oncology within JJIM to design, develop, and validate models leveraging unique real-world imaging datasets with comprehensive clinical data enriched with expert annotations. The ideal candidate will have hands-on experience across the full lifecycle of Radiology AI/ML development with clinically meaningful applications such as disease characterization and outcome prediction. Preferred experience includes applying Radiology AI/ML in clinical settings and exposure to oncology, particularly solid tumors such as lung cancer. Key Responsibilities: Conceive, develop, and implement analytics and AI/Machine learning radiology solutions to high-priority scientific problems Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams Shape internal/external collaborations and define the scope of research questions Extract insight from complex, unstructured radiology image or other imaging modalities data to enhance decision making in clinical development of cancer therapy (e.g., tumor characterization, outcome prediction, etc.) Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making Qualifications Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar), or closely related field, completed within the past 3 years, or to be completed within the next 6 months. Proficiency in radiology imaging modalities such as CT, PET, MRI, etc. Demonstrated experience driving research in and applying Computer Vision techniques, such as Foundation models, Transformers, CNNs, Diffusion models, RNNs, GANs, and radiomics. Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation Extensive hands-on experience with medical imaging modalities and formats (e.g., DICOM, nrrd, nifti) and collaborating with subject matter experts. Proficiency with one or more programming languages such as Python or C++ Strong publication record and ability to effectively communicate technical work to a wide audience Preferred Qualifications: Experience applying Radiology AI/ML in clinical settings. Exposure to oncology, preferably solid tumors such as lung cancer. Hands-on technical data analysis, cloud computing (AWS, Azure), dockerization. Familiarity with and exposure to drug discovery and clinical development processes Experience working closely with healthcare professionals Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $77,000 to $108,000. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #JNJPostDoc-DS #LI-Remote Required Skills: Preferred Skills: