Computer Science Jobs Hiring Now - Auto Apply & Get Hired Faster

We open closed systems. It's not just a slogan - it's our focus. We specialize in unraveling the complexities of IT systems to broaden understanding, enhance security, and ensure interoperability. We connect top talent with critical work, crafting robust partnerships and creating effective, real-world solutions. We are committed to moving quickly, embracing risks, and continuously challenging the status quo to achieve exceptional outcomes for our customers.Render is looking for a Computer Security Systems Specialist to join our highly competent and motivated Naval Air Warfare Center (NAWC) team. This position is located aboard Marine Corps Base Hawaii (MCBH) Kaneohe Bay, Hawaii and will serve as the NAWC’s on-site liaison for critical Information Technology (IT) networking, system administration, and communications initiatives. The role supports both ongoing operations and future mission requirements within a dynamic, fast paced, and highly rewarding program environment. Primary responsibilities include: Design, configure, maintain, and troubleshoot IP networks using Cisco®, Fortinet, and Juniper hardware, inline network encryptors, firewalls, and other network devices (switches, routers, IDS/IPS, cryptographic equipment) Administer Windows domains, including OU management, Group Policy configuration and verification, WSUS patch cycles, and Active Directory maintenance Manage Linux servers, including patching, configuration management, and performance tuning Implement and maintain virtualization infrastructure (vCenter, ESXi, virtual distributed switches, virtual machines) Conduct vulnerability scanning with ACAS/Nessus, enforce DISA STIG compliance, and utilize automated tools such as Evaluate-STIG for security validation Implement, monitor, and maintain network and system security measures across multiple platforms Maintain detailed documentation for TDPs, wiring, cabling layouts, and configuration baselines Lead technology refresh projects, hardware swaps, and lifecycle upgrades Mentor and provide oversight to subordinate technical personnel QUALIFICATIONS (REQUIRED) Minimum 2 years relevant experience (5 years preferred) in combined network andsystem administration roles Strong knowledge of routing protocols and networking technologies: OSPF, RIP, VRF,VLAN, MPLS, IP multicast routing, IP QoS, IPSec Demonstrated expertise in both Windows and Linux administration, patch management,and enterprise integration Hands-on experience with enterprise-grade network hardware, virtualization platforms,and security compliance frameworks Proficiency in vulnerability scanning, DISA STIG compliance, and security hardening inaccordance with DoD standards Proven ability to troubleshoot complex, multi-layer technical issues in mission-criticalenvironments Strong documentation habits and adherence to configuration control best practices Active DoDD 8140/DoD 8570 certification Excellent written and verbal communication Experience with Microsoft® Visio Must possess and maintain TS clearance Security+, CCNA, CCNP, GVF certifications ADDITIONAL QUALIFICATIONS (PREFERRED BUT NOT REQUIRED) Bachelor’s degree in an Engineering or IT-related field; 5 years relevant experience Knowledge of Marine Corps Enterprise Network (MCEN) user and administrative processes Render offers exciting opportunities for professional growth, leave benefits, participating in 401(k) with matching opportunities consistent with plan qualifications. We also offer health, vision and dental benefits on a cost-sharing basis. Annual bonus can be included in compensation based on company performance and policy. This position has an annual salary range of $60,000 to $80,000 based on annualized USD. The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and education and in consideration of internal pay equality. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, or protected veteran status, in accordance with applicable federal, state, and local laws. Render prohibits retaliation and discrimination against employees or applicants who inquire about, discuss, or disclose their own or another individual’s compensation, as required by law.Render participates in E-Verify to confirm employment eligibility under federal law. Powered by JazzHR

Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. The listing of a course in the schedule of classes as "TBA" does not constitute an assignment. The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management's sole discretion. Job Description The Montgomery College, Rockville Campus, is currently accepting applications for possible openings as a part-time faculty member in the Construction Management program, teaching Computer Applications in Construction. We are seeking an enthusiastic and dedicated teacher who exhibits significant prior Construction Management experience, a high degree of professionalism, a strong commitment to our students, and demonstrates the ability to motivate and educate in an engaging manner. Montgomery College accepts applications for Adjunct/Part-time Faculty on a continuous basis. Applications may be reviewed periodically based on the student enrollment needs. * The listing of a course in the schedule of classes as "TBA" does not constitute an assignment. The hiring decision for part-time faculty involves an academic judgment and shall be determined at Management's sole discretion. During the academic year, part-time faculty at Montgomery College may teach no more than 11.5 ESH (equivalent semester hours) per semester and no more than 23 ESH per academic year. During summer, part-time faculty at Montgomery College may teach no more than 10 ESH (equivalent semester hours) for both sessions combined. Duties and Responsibilities: Based on enrollment needs, teach Based on enrollment needs, teach CMGT190, Computer Applications in Construction. Emphasis is placed on the practical application of Microsoft Word and Excel in producing and maintaining documents for the efficient management of construction projects, and introduces students to Sage Estimating and On-Screen Takeoff for developing estimates, and to Primavera P6 for developing construction schedules. Adhere to the college curriculum and course outcomes Develop a course syllabus consistent with the college's guidelines, college curriculum, and course outcomes Make recommendations for textbooks and educational support materials to the program coordinator Submit to the Applied Technologies Department course syllabi, course calendar, and copies of assignments that contribute more than 20% of the final grade Meet grading deadlines as requested by Admissions and Records and deliver feedback/grades to students in a timely manner Periodically review teaching format, presentation, style, and procedures for potential improvement Manage classroom attendance and record grades in a timely manner Communicate effectively with students and colleagues using email Use Blackboard as a course supplement Participate in program-related events, including program meetings and meetings of the construction management industry advisory committee Perform other responsibilities as described in the part-time faculty handbook Required Qualifications: Bachelor's Degree in a construction-related discipline or related field or the equivalent combination of education, training, certification and/or experience that provides the required knowledge and expertise to perform the essential functions of the job may be considered. Minimum of ten years of industry experience in construction management, including experience in project planning and scheduling, cost estimating, document control, and project administration workflows. Candidates must have a strong knowledge of the Construction and Design industry, particularly as it relates to the Washington Metro area. Proficiency with Microsoft Office in a construction setting, including Outlook, Word, Excel, and PowerPoint Proficiency with construction-specific software applications, including Sage Estimating, On-Screen Takeoff, Primavera P6, and Bluebeam Revu. Proficiency with and ability to use a Learning Management System (LMS) and other web-based instructional technology to facilitate learning in a web-enhanced environment. Demonstrated experience teaching using a variety of delivery methods, online resources, and technology applications across the curriculum. Successful candidates will have a demonstrated commitment to promoting diversity, inclusion, and multicultural competence in an educational and work environment and must be willing to contribute to the College's strategic plan of inclusion. Faculty members are expected to have access to a personal computer with virus protection that can connect to the internet outside of the work location (i.e., office, classroom, college campus) . Montgomery College (MC) provides an MC e-mail account and access to the learning platform, password-protected faculty sections of the website, college listservs, and other faculty communications tools. If you do not have access to a personal computer, please notify the department chair at the time of the interview. Subject to available funds, the college may be able to provide temporary access to resources. Must be eligible to work in the United States without a sponsor. Preferred Qualifications: Master's Degree in a construction-related discipline. Proficiency in AutoCAD and/or Revit. Proficiency in Project Management Information Systems, such as Procore and Kahua. Experience with building information modeling, augmented reality, and/or virtual reality in the construction setting. Previous experience teaching in a college or professional environment. Previous experience using Blackboard Learn. Familiarity with Zoom or Microsoft Teams web meeting platforms. Experience with screen recording software such as Camtasia or Screencast-O-Matic. For degrees earned outside of the U.S., a copy of your education equivalency, conducted by a nationally recognized evaluation service, must be included in your application. Employees must live in Maryland or a state where the College has payroll reciprocity (DC, VA, PA, WV, DE, MA). As a condition of employment, the following are required at the time of hire: Successful completion of a background check and degree verification (if applicable). If a reasonable accommodation is needed to participate in the job application or interview process, please contact Human Resources and Strategic Talent Management at 240-567-5353 or HRSTM@montgomerycollege.edu. We require at least two weeks advance notice to enable us to provide the requested accommodation. Montgomery College is an equal opportunity employer committed to promoting and fostering diversity among its student body, faculty, and staff. Montgomery College is a tobacco-free and smoke-free workplace. Closing Date Wednesday, March 4, 2026

We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to humanoid robots. The Isaac team is looking for a robotics deep learning expert to help with this revolution. In this role, you will be working on imbuing humanoid robots with geometric awareness, semantic understanding, and natural language intelligence. Come join us to push the boundaries of robotics and enable the next generation of robotics! What you'll be doing: Conduct applied research and design innovative algorithms in the space of geometric computer vision and video/vision-language models. Deploy algorithms on real humanoid robots to gauge sim-to-real transfer of models. Work hand-in-hand across multiple engineering and research teams to enable foundation models on humanoid robots. Constantly learn and explore unfamiliar technologies. What We Need To See: Masters in Computer Science, Robotics, Deep Learning, or other related fields (or equivalent experience). 8+ years of algorithm development/research experience and relevant work/research experience in one or many of the following areas: Geometric computer vision models, semantic understanding models, vision-language models, foundation models, 3D-LLMs, video generative models, or diffusion algorithms. Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in modern software development practices (version control, testing, CI/CD). Excellent communication skills and the ability to collaborate efficiently in a cross-functional, distributed team environment. Proficient in C++ and Python. You have a thirst and ability to learn and adapt to new technologies. Ways To Stand Out From The Crowd: Ph.D. in Computer Science, Robotics, Deep Learning, or other related fields. Publications in top-tier AI conferences or contributions to open-source projects. Hands-on experience with running algorithms on real-world robotic systems. Experience with vision-language-action models. With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 25, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What You Will Do: As a Cryptologic Computer Scientist / Cyber Threat Analyst, Level 2, you will design, develop, and deliver advanced technical solutions within a scientific and analytical framework to support mission-critical cyber operations. This role blends deep computer science expertise with cyber threat analysis, requiring comfort working with large-scale data sets, advanced analytics, and investigative problem-solving.You will support a wide range of cryptologic and cybersecurity missions, including forensics, attack attribution, critical network protection, penetration testing, and cyber threat discovery. Leveraging strong programming and data analysis skills, you will analyze complex network and protocol data, uncover patterns, and generate insights that drive operational awareness and defensive capabilities.This position is ideal for an inquisitive, discovery-focused professional who enjoys exploring complex data, developing innovative techniques, and applying computer science fundamentals to real-world cyber challenges. Key Responsibilities: Design, develop, deliver, and operate solutions to complex cryptologic and cyber threat problems using a scientific and analytical approach. Perform cyber threat analysis activities including forensics, attack attribution, and identification of adversary behaviors. Analyze large-scale structured and unstructured data sets to identify anomalies, patterns, and indicators of compromise. Apply computer science principles to support protection of critical networks, active system warnings, and penetration testing activities. Conduct knowledge discovery across passive and active systems to support cyber and cryptologic missions. Utilize programming, algorithms, and data structures to develop analytical tools and prototypes. Perform network and protocol analysis to support detection, investigation, and mitigation of cyber threats. Collaborate with mission partners, analysts, and engineers to translate analytical findings into actionable intelligence. Document methodologies, findings, and results clearly for technical and non-technical stakeholders. Required Skills and Qualifications: Experience as a hybrid computer scientist and cyber threat analyst supporting cyber or cryptologic missions. Proficiency in Python and experience working with large-scale data processing frameworks such as Spark. Strong understanding of network architectures, protocols, and traffic analysis. Experience performing cyber threat analysis, digital forensics, or attack attribution. Comfort working with large data sets and applying analytical techniques to extract meaningful insights. Strong problem-solving skills with a curiosity-driven, discovery-focused mindset. Ability to apply advanced computer science concepts to real-world cybersecurity challenges. Familiarity with customer or mission-specific analytical tools is beneficial but not required. Education and Experience: Minimum Qualifications (One of the following): Master’s degree with 3 plus years of relevant experience Bachelor’s degree with 5 plus years of relevant experience Associate degree with 7 plus years of relevant experience Acceptable Degree Fields: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming course and at least four upper level mathematics courses (Calculus and above) Relevant experience must include computer science areas such as theoretical or applied computer science, simulation or model development, designing or developing or using or evaluating mathematical models, computation science, algorithm analysis and design, reverse engineering, and designing or developing computer and information systems including hardware and software Clearance Requirement: Must possess an active TS SCI with appropriate Polygraph to be considered for this role Why Choose Independent Software: At Independent Software, our people are the mission. We’ve built a company around collaboration, integrity, and innovation and we make sure our team has the tools and support to grow, succeed, and thrive.When you join us, you will: Support critical national security missions that matter Be part of a close-knit, employee-first culture where your voice is heard Expand your skills through ongoing training, mentorship, and career development Enjoy competitive compensation, generous benefits, and work-life balance Ready to take the next step in your career? Join us and be part of something bigger.Apply today. We’re 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. Powered by JazzHR

Staff Computer Vision/AI  Engineer Bright.AI is a high-growth Physical-AI company transforming how businesses interact with the physical world through intelligent automation. We are building a cutting-edge AI platform that processes visual, spatial, and temporal data across billions of real-world events—from edge devices and mobile sensors to large-scale cloud systems.   Our team includes world-class engineers and researchers from companies like Microsoft, Amazon, Tesla, and Meta. We are now hiring a Staff Computer Vision / AI Engineer to help shape the future of real-time visual intelligence and deploy next-generation AI systems at scale.  This is an incredible opportunity to work on cutting-edge AI systems that are redefining physical infrastructure industries. You will work on applied research and production-level ML/AI systems that power real-time decision-making across devices and services. This role requires deep expertise in computer vision, machine learning, and AI system design, with a strong focus on solving real-world problems. You'll work alongside world-class engineers and product leaders to define, build, and ship state-of-the-art AI features that are embedded into our platform.   Responsibilities: Lead the full lifecycle of Computer Vision and ML model development — from data collection and labeling through deployment and monitoring in production environments. Research and implement deep learning models for computer vision tasks including detection, segmentation, classification, tracking, and real-time inference. Drive CV projects from prototyping to production, in alignment with product and platform goals. Collaborate with product, hardware, and cloud teams to design end-to-end intelligent features across the stack. Architect technically robust, scalable, and reliable AI systems in collaboration with cross-functional teams. Solve complex physical-world challenges through structured experimentation and performance optimization. Prioritize and manage multiple initiatives to ensure model performance, reliability, and compliance.  Stay at the forefront of ML/AI and foundational models, integrate key innovations into the product roadmap. Evaluate emerging AI/ML trends and apply them to enable transformative infrastructure automation solutions.   Required Skills & Expertise: 7+ years of experience in computer vision and ML, with deep expertise in applied deep learning. Proven ability to deliver production-grade AI/ML solutions in fast-paced, real-world environments. Full-stack ML development lifecycle experience: data labeling and curation, model training, evaluation, optimization, and deployment. Hands-on technical skills with DL frameworks (PyTorch or TensorFlow) and string programming skills in Python (C++ is a plus). Hands-on experience with CNNs, YOLO, Vision Transformers, model compression, and real-time inference optimization. Hands-on experience deploying models in cloud platforms (AWS/GCP/Azure) and edge devices using TensorRT, ONNX, or TFLite. Strong problem solving and analytical skills, with the ability to convert ambiguity into actionable insights. Excellent team work and collaboration skills; ability to work cross-functionally with software, hardware, and product teams. Effective communicator, capable of conveying complex technical concepts to both technical and non-technical stakeholders. Self-motivated, proactive, and thrives in a dynamic, fast-paced environment.   Educational Background: PhD in Electrical Eng., Computer Science, or a related field with a focus on ML/AI for Computer Vision. Demonstrated research experience in CV with a strong record of publications and/or patents. Experience applying vision-based AI to real-time IoT systems or edge intelligence platforms.   Bonus Qualifications: Applied experience in CV for surveillance, physical-world perception problems, remote sensing, or structural health monitoring. Proficiency in Linux/Ubuntu environments; scripting and tooling around data and deployment workflows Familiarity with Agile development practices and tools such JIRA, Git, Confluence. Experience with embedded systems, Docker containers, or Linux-based deployment pipelines Prior experience in startup or high-growth environments building zero-to-one AI solutions

KAIROS, Inc is searching for an energetic, experienced, and highly motivated Computer Systems Analyst, Intermediate, to join our team. This position is contingent upon contract award. This position will work at a government site in St. Inigoes, MD. Established in July 2013, KAIROS, Inc. is a growing Woman Owned Small Business (WOSB) providing full life cycle Cybersecurity, Program Management, Engineering, Logistics, Additive Manufacturing, and Training and Education services focused on optimizing customers’ program performance and mission through proven methodologies and ethical practices. Our headquarters is in California, MD near Naval Air Station Patuxent River. We offer competitive salaries and benefits with outstanding growth potential. This position will analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Primary Duties: Performs systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software. Supports and guides junior staff and collaborates with senior team members in applying analytical techniques and methodologies to enhance project outcomes. Troubleshoot program and system malfunctions to restore normal functioning Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems. Skills and Qualifications: Analyzing information and evaluating results to choose the best solution and solve problems Keeping up to date technically and applying new knowledge to the job Using computers and computer systems to program, write software, set up functions, enter data, or process information Strong customer relations, analytics, and documentation skills Self-starter, highly motivated, strong work ethic with a commitment to quality Microsoft office suite proficiency, i.e., Word, Excel, PowerPoint Ability to work within a challenging, fast-paced, team-oriented environment Ability to work independently Ability to multi-task and meet competing, deliverable deadlines Detail oriented Excellent interpersonal and customer service skills Excellent verbal and written communication skills to provide clear status and/or communicate issues Ability to adapt to evolving technology ​ Education and Experience: Bachelor’s Degree in a technical, computer science, or information technology discipline. In lieu of a Bachelor’s degree, an Associate’s degree in a technical, computer science, or information technology discipline plus an additional four (4) years of work experience may be substituted. In lieu of a degree, an additional six (6) years of relevant work experience may be substituted At least three (3) years of relevant work experience Clearance: This position is subject to a government security investigation and must meet eligibility requirements for access to classified information. In order to complete the requirements for government security clearance investigation you must be a U.S. Citizen and be able to complete the full background investigation. This position requires an Active Secret Security Clearance. Compensation: While skills, education, and experience are key factors, they are not the sole determinants of salary. Other determining factors include but are not limited to location, contract budgets and requirements, and government labor category guidelines. The estimated salary range for this position is $100,000.00 to $130,000.00. KAIROS also provides a comprehensive benefits package as additional employee compensation. KAIROS, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, national origin, or any other characteristic protected by federal, state, or local laws. KAIROS offers our employees a comprehensive benefits package consisting of: Medical Coverage Employer Paid Dental, Vision, Basic Life/AD&D, Short-Term/Long-Term Insurance Health Savings Account with Contribution by Employer 401K Plan with Employer Matching Annual Discretionary Bonuses Paid Time Off Eleven (11) Paid Holidays Certification reimbursement program Tuition Reimbursement Program Paid Parental Leave Employee Assistance Program (EAP) Rewards and recognition programs Community outreach events through our KAIROS Kares group To learn more about our organization be sure to check out our website, https://www.kairosinc.net/ Powered by JazzHR

General Characteristics Responsible for monitoring multi-technology computing platforms including midrange platforms, mainframes and/or servers. Responsible for ensuring a stable operating environment and attaining maximum utilization of system facilities. Operates and monitors console systems and peripheral equipment such as printers, disk drives and tape readers. Troubleshoots and restores routine technical service and peripheral equipment, schedules production runs, performs system backup process, disaster recovery tests, loads tapes, disks and paper as needed. Assists programmers and systems analysts in running jobs that are used for testing and debugging new programs. Education : Associate’s or Bachelor’s Degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field. Or equivalent work experience. Experience : 0 to 1 year of IT work experience. Complexity : Learner/entry level role. Supports systems on a single platform. Works on one project as a team member and assists with special projects. Functions, somewhat independently, under direction of senior operators, supervisors or managers. Generally follows documented procedures and checklists. *Please note that this application is part of our candidate pool for future staffing needs under our contract with the State of Florida. Positions may not be available immediately, and job locations, assignments, and start dates may vary depending on agency requirements. By applying, you will be considered for current and upcoming opportunities, and we will reach out if a role that matches your skills and qualifications becomes available.* Powered by JazzHR

We open closed systems. It's not just a slogan - it's our focus. We specialize in unraveling the complexities of IT systems to broaden understanding, enhance security, and ensure interoperability. We connect top talent with critical work, crafting robust partnerships and creating effective, real-world solutions. We are committed to moving quickly, embracing risks, and continuously challenging the status quo to achieve exceptional outcomes for our customers.Render is looking for a Computer Security Systems Specialist to join our highly competent and motivated Naval Air Warfare Center (NAWC) team. This position is located aboard Marine Corps Air Station (MCAS) Yuma, Arizona and will serve as the NAWC’s on-site liaison for critical Information Technology (IT) networking, system administration, and communications initiatives. The role supports both ongoing operations and future mission requirements within a dynamic, fast paced, and highly rewarding program environment. Primary responsibilities include: Design, configure, maintain, and troubleshoot IP networks using Cisco®, Fortinet, and Juniper hardware, inline network encryptors, firewalls, and other network devices (switches, routers, IDS/IPS, cryptographic equipment) Administer Windows domains, including OU management, Group Policy configuration and verification, WSUS patch cycles, and Active Directory maintenance Manage Linux servers, including patching, configuration management, and performance tuning Implement and maintain virtualization infrastructure (vCenter, ESXi, virtual distributed switches, virtual machines) Conduct vulnerability scanning with ACAS/Nessus, enforce DISA STIG compliance, and utilize automated tools such as Evaluate-STIG for security validation Implement, monitor, and maintain network and system security measures across multiple platforms Maintain detailed documentation for TDPs, wiring, cabling layouts, and configuration baselines Lead technology refresh projects, hardware swaps, and lifecycle upgrades Mentor and provide oversight to subordinate technical personnel QUALIFICATIONS (REQUIRED) Minimum 2 years relevant experience (5 years preferred) in combined network andsystem administration roles Strong knowledge of routing protocols and networking technologies: OSPF, RIP, VRF,VLAN, MPLS, IP multicast routing, IP QoS, IPSec Demonstrated expertise in both Windows and Linux administration, patch management,and enterprise integration Hands-on experience with enterprise-grade network hardware, virtualization platforms,and security compliance frameworks Proficiency in vulnerability scanning, DISA STIG compliance, and security hardening inaccordance with DoD standards Proven ability to troubleshoot complex, multi-layer technical issues in mission-criticalenvironments Strong documentation habits and adherence to configuration control best practices Active DoDD 8140/DoD 8570 certification Excellent written and verbal communication Experience with Microsoft® Visio Must possess and maintain TS clearance Security+, CCNA, CCNP, GVF certifications ADDITIONAL QUALIFICATIONS (PREFERRED BUT NOT REQUIRED) Bachelor’s degree in an Engineering or IT-related field; 5 years relevant experience Knowledge of Marine Corps Enterprise Network (MCEN) user and administrative processes Render offers exciting opportunities for professional growth, leave benefits, participating in 401(k) with matching opportunities consistent with plan qualifications. We also offer health, vision and dental benefits on a cost-sharing basis. Annual bonus can be included in compensation based on company performance and policy. This position has an annual salary range of $60,000 to $80,000 based on annualized USD. The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and education and in consideration of internal pay equality. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, or protected veteran status, in accordance with applicable federal, state, and local laws. Render prohibits retaliation and discrimination against employees or applicants who inquire about, discuss, or disclose their own or another individual’s compensation, as required by law.Render participates in E-Verify to confirm employment eligibility under federal law. Powered by JazzHR

Position Details: This position is part of the teaching faculty within the Business and Information Technology department and reports to the Department Chair. Computer Information Technology instructors that can teach hyflex courses (meaning face-to-face instruction supplemented with online instruction) are needed. Responsibilities: This is a part-time faculty position. Responsibilities will include teaching one or more Computer Information Technology courses, developing appropriate course syllabi, and working with students as needed. Courses will be hyflex, meeting on the Kilgore campus typically two days a week and communicating via online technologies the remainder of the time. Adjunct faculty members teach and supervise all learning experiences and evaluate student performance in the classroom. Current course needs are Integrated Software Applications, including Microsoft Windows, Word, Excel, PowerPoint, and SQL. Minimum Qualifications: An associate’s degree or higher is required in information technology, computer science, or computer information systems. Candidates must also have at least 3 years of fulltime experience working as an IT professional. Industry certifications are highly desirable. Previous teaching experience is a plus. Salary Range & Fringe Benefits: Salary for adjunct faculty members is based upon level of education and range from $1,800 per 3-hour course for up to a bachelor's degree to $2,100 per 3-hour course for a doctorate. Worker’s compensation Limited Part-Time Retirement Plan Kilgore College does not participate in the federal Social Security program. All full-time positions are located in Kilgore, TX. No fully work from home positions are available at this time. All employees must be available to physically present to work on the Kilgore, TX or Longview, TX Campus. Some Part-Time and Adjunct positions may be offsite but the candidate MUST live in the State of Texas. Kilgore College is a two-year, comprehensive public community college with a campus in Kilgore and an extension center in Longview, Texas. With approximately 7,000 students, Kilgore College is a student-centered institution characterized by excellence in teaching and quality learning opportunities. Kilgore College is focused on continually improving their students’ holistic experience leading them to success in life while improving access to higher education and partnering with those who advance the vision of a stronger community culturally, socially and economically. Vision Statement: We commit to be the higher education institution of choice in Northeast Texas. Positions will remain open until filled. Some Adjunct and Part-Time teaching positions may remain open perpetually as the need for part time instructors fluctuates with student enrollment. Teaching positions will be required to submit official transcripts upon an offer of employment. An offer of employment will be contingent upon passing a background check. Federal law prohibits the employment of unauthorized aliens. All persons hired must submit satisfactory proof of employment authorization and identity within three (3) days of being hired. Failure to submit proof within the required time shall result in immediate employment termination. All position appointments are subject to approval by the college's Board of Trustees. This description is an overview of the job. It is not intended to be an all-inclusive list of duties and responsibilities of the job, nor is it intended to be an all-inclusive list of the skills and abilities required to do the job. Duties and responsibilities may change with business needs. Kilgore College reserves the right to add, change, amend, or delete portions of this job description at any time, with or with notice. Employees may be required to perform other duties as requested, directed, or assigned. In addition, reasonable accommodations may be made by Kilgore College at its discretion to enable individuals with disabilities to perform the essential functions. Kilgore College is an equal opportunity institution and does not discriminate on the basis of sex, race, color, religion, age, national origin, disability in violation of Section 504 of the Rehabilitation Act or 34 C.F.R. Part 104, veteran’s status or genetic information in its educational programs, employment policies or activities. Know Your Rights Employment Notice Employee Rights and Responsibilities Under the Family and Medical Leave Act All positions are considered security-sensitive and subject to a background check pre-employment. Powered by JazzHR

COMPUTER SCIENTISTS Job Type: Full Time Level: Mid, SeniorLocation: Fort Meade / Annapolis Junction, MD area Security Clearance: TS/SCI with Appropriate Agency Polygraph Tasking: Develop software drivers Develop software applications Process digital signals Develop Client/server applications Analyze and implement Legacy and current processor technology Analyze and implement Operating systems, architectures, and interfaces Develop code using Assembly and high-level programming languages Reverse engineer software/code Develop embedded software Communicate status of work Peer review software Moderate software peer reviews Lead a Software development team and ensure work is completed in accordance with the - constraints of the technical process being used on any particular project Communicate plans and progress, identify potential problems, and recommend viable solutions Skills & Experience: Python, C, C++, Lynx Integrated product experience Product life cycle management General Qualifications: Computer Scientist Level 1 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 3-5 years of experience in software and firmware design, development, and test. Computer Scientist Level 2 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 5-10 years of experience in software and firmware design, development, and test. Computer Scientist Level 3 requires a Bachelor’s degree in a relevant field of expertise (e.g., Engineering, Physical Science, Computer Science, or Systems Engineering) from an accredited college or university and 10+ years of experience in software and firmware design, development, and test. Four (4) years of additional experience in software and firmware design, development, and test may be substituted for a bachelor’s degree. A master’s degree in a relevant field of expertise may be substituted for two (2) years of experience. About Us! Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD. Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC). We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver leading-edge solutions to help solve our customer’s mission challenges. Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions. Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement. Ready to make a difference? With a large variety of projects and contracts we can find the right fit—skills, growth opportunities, and personality—for each of our employees. To apply, please visit www.arteratech.com or email your resume to staffing@arteratech.com. Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class. Powered by JazzHR

Cultivarium is a Focused Research Organization (FRO) and a Frontier Research Contractor with a mission to accelerate the adoption of novel microorganisms for biotechnology. We are looking for someone who can contribute both individually and as part of a team to create tangible solutions for a ‘moonshot’ project. You will be part of a close-knit, driven team of scientists and engineers that are building technological infrastructure for the cultivation of non-model microorganisms, to open new avenues for science, technology, medicine, and agriculture. We are seeking an AI Intern to help build, fine-tune, and evaluate vision language models (VLMs) in a scientific research environment. This position offers a unique opportunity for an intern to operate in the intersection of AI and biology, spanning topics such as experimental research, scientific documentation, and lab automation. This is a paid internship with an hourly rate of $25–$35, depending on experience and qualifications. The length of the internship is 3 months with the possibility of extension. You will create impact by leveraging your technical skills to develop machine vision applications that use Large Language Models (LLMs), VLMs, and/or Vision Language Action models (VLAs) to assist in the automated documentation of laboratory procedures and their translation into robotic actions. Your focus will be on understanding basic experimental procedures, designing and labeling critical training datasets, fine-tuning and comparing models, and evaluating model performance. Responsibilities include, but are not limited to: Work closely with project manager, engineers, and scientists to architect, build, and annotate training datasets for an experimental research setting. Fine-tune VLMs and evaluate/compare model performance. Identify model limitations and opportunities for improvement. Write clean, maintainable, and testable code, following best practices. Summarize and present your work to your supervisor and team members. Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others. Basic Qualifications Relevant expertise in VLMs, machine vision, Vision Language Action (VLA) models, object recognition/detection, computer detection, large language models (LLMs), building custom agents, robotics. Experience with video dataset annotation via platforms such as Roboflow or V7. Experience with fine-tuning and evaluating VLMs such as Qwen, ViTPose++, YOLO, and DETR on performance metrics such as mAP50 and latency. Coding ability in Python. Interest in Biology and an eagerness to develop subject matter expertise in laboratory equipment and techniques. Ability to thrive in a dynamic environment and adapt quickly to evolving needs. Skilled in creative problem-solving, with keen attention to detail and a collaborative approach. Ability to prioritize tasks effectively, communicate clearly with colleagues, and consistently meet deadlines. Authorized to work in the U.S. without sponsorship. Advanced Qualifications Graduated or pursuing a Master’s degree in computer science, data science, machine learning, or a related field. Track record of success on ML competition platforms such as Kaggle. Hands-on experience with experimental equipment and protocols in Biology at the undergraduate level. Cultivarium aims to help fill a structural gap in today's R&D system. We enable fundamental research that requires unusual levels of scale and coordination that is not yet rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations. Cultivarium, LLC is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.

Clearance: TS/SCI w/Full Scope Poly Location: Harlem GA Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done. Join our team of experts as we engineer national security! Altamira is searching for a Computer Network Defense Analyst in Annapolis Junction, MD. Job Description: Use information collected from a variety of computer network defense resources (including, but not limited to, intrusion detection system alerts, firewall and network traffic logs, and host system logs) to identify, analyze, and report events that occur or might occur within their environment. Relevant experience: Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, and/or systems engineering. Additionally, must have experience in network or system administration. If not credited toward education requirements, completion of military training in a relevant area such as JCAC (Joint Cyber Analysis Course), Undergraduate Cyber Training (UCT), Network Warfare Bridge Course (NWBC)/Intermediate Network Warfare Training (INWT), Cyber Defense Operations will be considered towards relevant experience requirement (i.e., 20-24 week courses will count as 6 months of experience, 10-14 weeks will count as 3 months of experience). Degree Types: Network Engineering, Systems Engineering, Information Technology, or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security).

What success looks like in this role: Provides the full range of Field Engineering support for an assigned base of large / complex clients. Takes complete ownership of onsite service activity. Performs advanced-level maintenance on all products, including low-complexity installation activities. Provides technical feedback on equipment, systems and processes to improve overall service delivery. Uses advanced tools and technical knowledge to resolve client problems and conduct scheduled installs. Identifies and resolves systemic issues within the team. Proactively supports the needs of other team members, providing technical assistance and expertise. Contributes to improved client services metrics reporting and documentation. Monitors technical and process issues, proactively informing the manager and/or team on offering improvement recommendations. You will be successful in this role if you have: High School Diploma or GED required May require technical certification or Associate Degree Generally, 2-4 years' experience in area of responsibility Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) plan, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success. At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually! This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

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 Qualifications: 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) The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid 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.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an electrical or computer engineering intern, you will join a multidisciplinary team to apply your academic knowledge and gain hands-on experience in one or more of the following areas: Electronic Warfare and Signal Processing: Antennas, electromagnetics, sensors, radar, photonics, and advanced signal processing. Communications and Spectrum Operations: Wireless communications, SIGINT, spectrum management, and position, navigation, and timing (PNT). Embedded Systems and Security: Electronics design, embedded security, and cryptographic systems. Prototyping and Advanced Manufacturing: Rapid hardware prototyping, mechanical design, reliability analysis, and advanced manufacturing techniques. Maritime Systems Development: Acoustic and ocean modeling, SONAR system analysis, and transducer design. Basic Qualifications Must be a full-time student pursuing an accredited degree program in Electrical Engineering, Computer Engineering, or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge in electrical and/or computer engineering including relevant tools, methodologies, and programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience having applied electrical or computer engineering concepts in an internship, research, or laboratory setting. Proficiency in using electrical and/or computer engineering methodologies, frameworks, tools and/or programming languages. Proven ability to work independently. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation. We are seeking an exceptionally motivated and experienced Senior Machine Learning Engineer, Computer Vision to drive cutting-edge research and development in real-time and offline 2D and 3D algorithms. The successful candidate will be a hands-on technical leader responsible for translating complex computer vision algorithms from research papers into robust, production-ready systems that power our next-generation products. This role requires a deep theoretical background combined with substantial practical experience working with spatial and temporal data. You will: Pioneer Core CV Algorithms: Lead the research, design, and implementation of novel computer vision and deep learning algorithms, with a specialized focus on 2D and 3D data (e.g point clouds). Focus Area Expertise: Drive innovation in key perception areas, including: 3D Reconstruction and SLAM: Advanced techniques for real-time 3D mapping, pose estimation, and environmental modeling from multi-modal sensor inputs (e.g., RGB-D, LiDAR). Hand/Body Tracking: Developing robust and precise models for hand pose estimation, gesture recognition, and full-body tracking under various lighting and occlusion conditions. Object Detection and Tracking (MOT/SOT): Designing high-performance deep learning models for accurate detection and persistent tracking of objects and people in video streams. Video Processing: Creating algorithms for temporal feature extraction, video-based action recognition, and motion analysis. Model Optimization: Optimize computationally intensive models for deployment on edge devices (low power, low latency) and/or large-scale cloud infrastructure. Technical Leadership: Serve as the subject matter expert in Computer Vision, providing technical direction and mentorship to junior engineers and cross-functional teams. Publication & IP: Maintain state-of-the-art knowledge, evaluate recent academic publications (e.g., CVPR, ICCV, ECCV), and drive the filing of patents and publication of novel research. Cross-Functional Partnering: Collaborate closely with Software Engineering, Product, and Hardware teams to define requirements, integrate vision systems, and ensure solutions meet performance targets. You have: Ph.D. in Computer Science, Computer Engineering, or a related quantitative field (Mathematics, Electrical Engineering, etc.) OR a Master's degree with 4+ years of equivalent professional experience in an applied research setting. 5+ years of hands-on experience in algorithm development for 2D/3D computer vision and deep learning. Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Nice to haves: Deep Learning Frameworks: Expert proficiency in at least one major deep learning framework (PyTorch, TensorFlow or Jax). Programming: Mastery of Python for machine learning and strong proficiency in C++ for performance-critical algorithm implementation. 2D/3D Fundamentals: In-depth knowledge of classical and modern computer vision fundamentals, including multi-view geometry, projective geometry, camera calibration, and 3D graphics/rendering principles. Building real-time and batch ML systems that analyze structured and unstructured signals Hands-on experience rapidly prototyping and iterating on ML systems with changing requirements Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $218,400-$273,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Why Join Us? We're a fast-growing, profitable company transforming how computer vision is applied in property technology. By leveraging AI and human expertise we're redefining how property data is captured and used to drive smarter, faster decisions in the field, for operations, and within leadership teams. As a Computer Vision Engineer at Seek Now, you'll pioneer advanced image recognition and 3D modeling techniques to revolutionize property inspections. Leveraging cutting-edge computer vision, you'll help us move beyond manual assessments toward fully automated, data-driven insights-reshaping the future of property intelligence. What You'll Do Design & Implement CV Models- Build computer vision systems for object detection, damage assessment, image segmentation, and measurement extraction from aerial, drone, and ground-level imagery. Advance 3D Reconstruction- Develop algorithms to generate accurate 3D models of homes and property structures using images, LiDAR, and multimodal data sources. Innovate in Real-World Applications- Create real-time or near-real-time solutions for mobile and web platforms to power field inspections. Leverage Multimodal Data- Integrate data from RGB imagery, aerial/satellite sources, and LiDAR to produce richer, more reliable insights. Collaborate & Influence- Partner with product, engineering, and insurance experts to translate technical outputs into actionable business decisions. Drive Continuous Improvement- Stay at the forefront of computer vision and machine learning advancements, and apply emerging techniques to enhance accuracy, scalability, and efficiency. What You Bring Experience- 5+ years in computer vision, machine learning, or applied AI roles, preferably in real-world inspection, insurance, construction, or geospatial domains. Education- Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or related technical field. Technical Expertise Deep Learning for 2D image classification, object recognition and semantic/instance segmentation. Strong Background in multimodal data fusion (e.g., RGB, aerial imagery, satellite, LiDAR). Tooling & Language-Proficiency in Python, TensorFlow/PyTorch, OpenCV and strong applied math skills in geometry, linear algebra and optimization. Strategic Mindset-Ability to see beyond the algorithm, anticipating business needs and shaping product direction through AI-driven insights. Nice to Have Experience with insurance, property tech or construction tech solutions. Familiarity with cloud-based ML deployment pipelines (AWS/GCP/Azure). Experience building interactive visualization tools for inspection data or 3D reconstructions. Why You'll Love It Here Ownership & Impact- You'll see your code in production, directly shaping products that matter. Fast Growth, Big Opportunities- As we scale, your role and influence will scale too. Collaborative Team- Join smart, humble engineers who get things done. Autonomy & Flexibility- We trust you to deliver results in the way that works best for you. Benefits and Perks: Seek Now offers exceptional compensation and a great benefits package, including health, dental and vision insurance, 401K with company match, paid time off (PTO), short and long-term disability insurance, AD&D insurance, life insurance, and more as it becomes available. EEO Statement: Seek Now is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Seek Now does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Provides quality education and maintains high standards of academic excellence in teaching assigned courses in the discipline. The Adjunct hybrid faculty roles teach assigned courses in person and asynchronously online. This role also maintains office hours as assigned. NOTE: Applications must include copies of ALL unofficial transcripts to receive full consideration. Campus Location: Northwest Houston, TX, Strayer Campus Address: 10343 Sam Houston Park Dr., Suite 110, Houston, TX 77062 Essential Duties & Responsibilities: Are you looking for a rewarding career where you can change lives? Strayer University is seeking a dynamic Adjunct Faculty member to join our academics team. We are currently in search of a passionate professor for graduate level Computer Information Systems class for the upcoming Winter quarter, starting January 5th in a hybrid format. The hybrid format is described as teaching the course in both the in-person and online modalities. This role requires 11 in-person meeting sessions for 2 hours every week held at a predetermined scheduled time (day/evening) at a specific Strayer University Campus. The balance of the course is instructed asynchronously online. Strayer Adjunct Faculty are not just instructors; they are also coaches and mentors. Our faculty members strive to ignite a life-long love of learning in our students and to be flexible with their diverse learning styles. We believe in a strong faculty-student relationship and building a community in the classroom. Teach courses as assigned from a pre-designed curriculum and utilize your professional expertise to provide high-quality instruction. Enhance the strength and effectiveness of the curriculum using technology and videos. Arrive on-campus at least half an hour prior to the start time of in-person sessions per week during the academic quarter. Utilize the online learning platform to enrich the student learning experience for the online component of the course. Be available to students via email, phone, text, and office hours to ensure students receive quality feedback in a timely manner to support their academic success. Establish high standards and ensure students understand how they will be evaluated. Adhere to University policies and procedures. Attend faculty meetings and workshops or training as required. Job Skills: Demonstrated knowledge of academic technology. Proficient with Microsoft Office (Excel, PowerPoint, etc.) software and overall computer skills. Demonstrated knowledge of academic evaluation. Proficiency in oral presentation skills, planning, and organizing of course objectives. Must have strong computer skills (Excel, PowerPoint, etc.). Excellent oral and written communication skills. Effective time management skills. Work Experience: Teaching experience at the college level and online teaching experience are strongly preferred. Professional experience in Cybersecurity, Information Assurance, IT Security, Computer Security or Forensic Management is required. Education: Doctorate degree in Computer Science, Information Technology, Computer Technology, Computer Information Systems, etc. is required. Other: Must be able to travel weekly to required location(s). Must be able to lift 25 lbs. Typical office setting. Mobility within the office including movement from floor to floor. Travel via plane, car, and metro may be required to perform this job. Must be able to work more than 40 hours per week when business needs warrant. Access information using a computer. Effectively communicate, both up and down the management chain. Effectively cope with stressful situations. Strong mental acuity. Regular, dependable attendance and punctuality are essential functions of this job. Other essential functions and marginal job functions are subject to modification. Who we are Work is changing. The economy is rapidly transforming. We're innovating education and transforming learning to help people prepare for the workforce - today and in the future. Our INNOVATION is powered by the belief that today's workforce cannot be supported by yesterday's education. To be RELEVANT now and in the future, we need to transform learning to create an experience that delivers RESULTS. About- Careers- Who We Are, Strategic Education, Inc. Leadership behaviors At Strategic Education, Inc., our leadership behaviors guide everything we do and the culture we're building. They unite us in delivering on our mission. They reflect the way we approach our work and treat each other. They inspire us to do the right thing for our students, as well as for our employees. They represent who we are and what we aspire to be. About- Careers- Leadership Behaviors, Strategic Education, Inc. #LI-LJ1 Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position. $2,300-$2,600 is the expected starting pay per online assignment for this position per quarter and $3,000 is the expected starting pay per on campus assignment for this position per quarter. If your location is near a campus, on campus teaching may be required. Current and future assignments are based on the additional factors outlined below. SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. Non-exempt employees are eligible for overtime pay, if applicable. Careers- Our Benefits, Strategic Education, Inc SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all. Strayer University Adjunct Faculty are compensated based on the number and type of course(s) that are taught in a given quarter. Currently, compensation for courses ranges from $2,300 - $3,100. If you require reasonable accommodations to complete our application process, please contact our Human Resources Department at Careers@strategiced.com.