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Convergent Research logo

Computer Vision and Machine Learning Intern

Convergent ResearchWatertown, MA
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.

Posted 30+ days ago

CESNA GROUP logo

Computer Vision R&D Engineer

CESNA GROUPSan Diego, CA

$120,000 - $160,000 / year

[Position]Computer Vision R&D Engineer[About Our Client]The company, founded in 2002 in Seoul, South Korea, is the world leader in 3D measurement and inspection technology used in the production of micro-electronics assemblies. Using patented 3D technology, the company provides best-in-class products in Solder Paste Inspection(SPI) and Automated Optical Inspection(AOI) for electronics manufacturers worldwide.[Job Summary]We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines, including quality inspection systems in many different industries, medical equipment, as well as other exciting applications which use 3D imaging technologies and Machine Learning.As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics, physics and optics engineers. (interdisciplinary and collaboration)[Job Description]- Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.- Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.- Engineer solutions for quality inspection equipment, medical equipment, and more.- Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.- Participate in weekly “Group Genius” activities, where all members take the lead and create ideas, with the mindset that innovation can happen by anyone and anywhere.- Performs other duties as assigned[Qualifications]- Master's degree required- Ph.D preferred- Experience to Research and Develop to Classical Computer Vision Algorithm- Experience to Research and Develop Machine Learning- Experience to Deploy CUDA processing- C++ code optimization in performance-wise to image processing- Experience with at least of the programming language C++ / Python / CUDAHave at least one of the followings:- Computer Vision algorithms and applications, such as 3D reconstruction(structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.- Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems- Algorithm optimization for efficient processing, exploiting parallelism, and GPU- Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2years)- C++ programming skills, preferably in an embedded environment with GPU and familiar with UML[What's On Offer]- Salary range : $120-160K- Health/Dental/Vision/Life Insurance at NO employee premium (including dependent coverage)- 401(k) retirement plan (Immediately 100% vested)- Generous PTO and paid holidays

Posted 2 weeks ago

Bright Vision Technologies logo

Computer Vision Engineer

Bright Vision TechnologiesCincinnati, OH
Computer Vision Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.We leverage cutting-edge computer vision and deep learning technologies to build scalable, accurate, and production-grade visual intelligence systems. As we continue to grow, we’re looking for a skilled Computer Vision Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota . Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Computer Vision Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Computer Vision, Python, OpenCV, TensorFlow, PyTorch, Image & Video Processing, Deep Learning, CNNs, Object Detection & Tracking, Image Segmentation, Model Training & Optimization, Data Annotation Pipelines, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, Git, Agile methodologies Again, we work only with direct clients . If you are already on H-1 B and are open to an H-1 B transfer , feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required , so apply only if you are confident and technically strong . We prefer at least 3 to 5 years of real-time experience . Thanks& Regards Best Regards, Sridhar PagoluSenior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR

Posted 1 week ago

Bright Vision Technologies logo

Computer Vision Engineer

Bright Vision TechnologiesPhiladelphia, PA
Computer Vision Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.We leverage cutting-edge computer vision and deep learning technologies to build scalable, accurate, and production-grade visual intelligence systems. As we continue to grow, we’re looking for a skilled Computer Vision Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota . Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Computer Vision Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Computer Vision, Python, OpenCV, TensorFlow, PyTorch, Image & Video Processing, Deep Learning, CNNs, Object Detection & Tracking, Image Segmentation, Model Training & Optimization, Data Annotation Pipelines, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, Git, Agile methodologies Again, we work only with direct clients . If you are already on H-1 B and are open to an H-1 B transfer , feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required , so apply only if you are confident and technically strong . We prefer at least 3 to 5 years of real-time experience . Thanks& Regards Best Regards, Sridhar PagoluSenior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR

Posted 1 week ago

Bright Vision Technologies logo

Computer Vision Engineer

Bright Vision TechnologiesRaleigh, NC
Computer Vision Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.We leverage cutting-edge computer vision and deep learning technologies to build scalable, accurate, and production-grade visual intelligence systems. As we continue to grow, we’re looking for a skilled Computer Vision Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota . Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Computer Vision Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Computer Vision, Python, OpenCV, TensorFlow, PyTorch, Image & Video Processing, Deep Learning, CNNs, Object Detection & Tracking, Image Segmentation, Model Training & Optimization, Data Annotation Pipelines, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, Git, Agile methodologies Again, we work only with direct clients . If you are already on H-1 B and are open to an H-1 B transfer , feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required , so apply only if you are confident and technically strong . We prefer at least 3 to 5 years of real-time experience . Thanks& Regards Best Regards, Sridhar PagoluSenior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR

Posted 1 week ago

Independent Software logo

Cryptologic Computer Scientist, Level 3

Independent SoftwareFort Meade, MD
What You Will Do: As a Cryptologic Computer Scientist / Cyber Threat Analyst, Level 3, 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: Doctoral Degree plus 4 years of relevant experience Master’s Degree plus 6 years of relevant experience Bachelor’s Degree plus 8 years of relevant experience Associate Degree plus 10 years of relevant experience Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field and include at least one programming course and a minimum of four upper-level mathematics courses (Calculus and above).Relevant experience must be in one or more of the following areas: Theoretical or applied computer science Simulation or model development Designing, developing, using, or evaluating mathematical models, methods, or techniques Computational science, algorithm analysis, and algorithm design Reverse engineering Designing, developing, or integrating computer and information systems, including hardware and/or 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

Posted 30+ days ago

Bright Vision Technologies logo

Computer Vision Engineer

Bright Vision TechnologiesHouston, TX
Computer Vision Engineer Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.We leverage cutting-edge computer vision and deep learning technologies to build scalable, accurate, and production-grade visual intelligence systems. As we continue to grow, we’re looking for a skilled Computer Vision Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota . Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Computer Vision Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Computer Vision, Python, OpenCV, TensorFlow, PyTorch, Image & Video Processing, Deep Learning, CNNs, Object Detection & Tracking, Image Segmentation, Model Training & Optimization, Data Annotation Pipelines, RESTful APIs, Cloud Platforms (AWS / Azure / GCP), Docker, Kubernetes, Linux, Git, Agile methodologies Again, we work only with direct clients . If you are already on H-1 B and are open to an H-1 B transfer , feel free to apply. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required , so apply only if you are confident and technically strong . We prefer at least 3 to 5 years of real-time experience . Thanks& Regards Best Regards, Sridhar PagoluSenior Manager Bright Vision Technologies Phone: 908-938-4442 Address: #991 Route 22 West, Suite 200, Bridgewater, New Jersey - 08807 Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR

Posted 1 week ago

Acclaim Technical Services logo

Computer Network Defense Analyst (CNDA), All Levels (2026-0020)

Acclaim Technical ServicesAnnapolis Junction, MD

$100,000 - $250,000 / year

Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively hiring a Computer Network Defense A nalyst with current TS/SCI w/ Poly to join our Defense & Homeland Security Division working in Annapolis Junction, MD. We are hiring for multiple skill levels for a variety of roles to support core Intelligence Community (IC) missions. Our national security depends on technology as never before, and this dependence is growing at an ever-increasing rate. Relevant experience should be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, forensics, etc. RESPONSIBILITIES Evaluate target opportunities using all source data to understand and map target networks, and to assist in developing detailed exploitation and operations plans. Analyze SIGINT and cybersecurity data at multiple levels up and down the OSI network stack and bring a solid understanding of logical/physical IP core infrastructure, communication devices and how they connect to networks, and the traffic movements in a network. Be involved in developing new tradecraft needed to perform this analysis as technologies evolve. Be part of a team, working together with government, military, and contractor personnel to develop shared understandings of intelligence needs, mission relevance, and areas of expertise. Apply your innate curiosity and analytical talent to form hypotheses, critically assess and choose analysis techniques, then query, merge, enrich, evaluate, and pivot within data to attain and share insights Distill, document, contextualize and share your findings--including any new tradecraft that you develop--with teammates, stakeholders, and intelligence consumers. REQUIRED EDUCATION & EXPERIENCE Must possess an active TS/SCI clearance with polygraph Education: Degree in Computer Science. Degree in related fields (e.g., Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) and Information Security (IS) degrees may be considered relevant if the programs contain the amount and type of coursework equivalent to a Computer Science (CS) major Relevant Experience: Relevant experience must be in computer or information systems design/development/analysis roles. In addition, it may also include engineering hardware and/or software, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics, information assurance, systems engineering, and/or network and systems administration. Completion of military training in a relevant area such as JCAC (Joint Cyber Analysis Course) may be considered towards the relevant experience requirement (i.e., 24-week JCAC course may count as 6 months of experience). Specific labor category determined by years of experience + educational degrees: Level 1 2 years’ applicable experience with a bachelor’s degree, OR 4 years’ applicable experience with associate degree Level 2 2 years’ applicable experience with a PhD, OR 3 years’ applicable experience with a master’s degree, OR 5 years’ applicable experience with a bachelor’s degree, OR 7 years’ applicable experience with an associate degree Level 3 4 years’ applicable experience with a PhD, OR 6 years’ applicable experience with a master’s degree, OR 8 years’ applicable experience with a bachelor’s degree, OR 10 years’ applicable experience with an associate degree Level 4 7 years’ applicable experience with a PhD, OR 9 years’ applicable experience with a master’s degree, OR 11 years’ applicable experience with a bachelor’s degree, OR 13 years’ applicable experience with an associate degree Pay Range : There are many 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 employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources .The proposed salary range for this position is: $100,000.00 - $250,00.00 EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

Posted 1 week ago

Independent Software logo

Cryptologic Computer Scientist, Level 2

Independent SoftwareFort Meade, MD
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

Posted 30+ days ago

Columbus Technical College logo

Computer Information Systems/Information Technology/Cybersecurity Adjunct Instructor

Columbus Technical CollegeColumbus, GA
Columbus Technical College is seeking an individual to serve as an Adjunct Instructor in our Computer Information Systems/Information Technology Department. This individual will be responsible for preparation of lesson plans for classroom and lab hands on lab instruction. This position also requires evaluation of student progress in attaining goals and objectives; attend staff development training, workshops, seminars, and conferences, and ensure all safety and security requirements are met in trainings. This is a part-time/exempt position . Please note the following information regarding this position: May be required to teach high school students May require teaching on or off campus throughout our service delivery area (Muscogee County, Stewart County, Quitman County, Chattahoochee County, Harris County, and Talbot County) May require travel Responsibilities: Instruct students in Computer Information Systems/Information Technology/Cyber Security Ensures adherence to technical college and safety requirements in classrooms and labs by following established procedures. Correctly assesses the educational needs and class progress of students. Selects and obtains appropriate educational materials for courses. Prepares reports on the status of students in the program indicating whether performance is aligned with performance indicators, program goals and progress schedule. Ensure consistency in syllabi, lesson plans, tests, and other appropriate materials. Prepares appropriate curricula, including non-traditional content and methods to achieve objectives and goals of students. Prepares lesson plans, prepares lectures, writes course overviews and outlines Prepare tests, class projects and case studies; grades papers; averages grades, prepares grade reports, and coordinates make-up tests with learning lab Completes all internal and external training requirements timely Assists with the design and execution of special events, projects and activities as requested Displays a high level of effort and commitment to performing work; operates effectively within the organizational structure; demonstrates trustworthiness and responsible behavior. Minimum Qualifications: A Bachelor’s degree in teaching discipline or information technology/computer from an accredited college or university *and* relevant certifications in the field of study -OR- A Master’s degree or higher in computer information system/cyber security from an accredited college or university in the discipline -OR- A Master’s degree or higher in a related field with a concentration in computer information system/cyber security and a minimum of 18 graduate semester hours or 27 graduate quarter hours in the teaching discipline Preferred Qualifications (In addition to minimum qualifications): Experience teaching in a post-secondary institution Any of the following certifications: Cisco Certification Network Ass.v7(Networks) CCNAv7-Switches, Routers, & Wireless Essentials CCNA Enterprise Networking, Security, Automation CyberOps Associate Apple Swift Certification Salary/Benefits: Pay rate is commensurate with education and experience, no benefits. Application Deadline Applications accepted until filled. Applicants must submit a Columbus Technical College employment application online, upload a cover letter, resume, and an unofficial copy of transcript(s) for all degrees conferred. Please note: All references will be checked prior to employment offer. Post offer requirements will include a criminal background check and motor vehicle records check. Employment Policy Equal opportunity and decisions based on merit are fundamental values of the Technical College System of Georgia (TCSG). The TCSG State Board prohibits discrimination on the basis of an individual’s age, color, disability, genetic information, national origin, race, religion, sex, or veteran status (“protected status”). No individual shall be excluded from participation in, denied the benefits of, or otherwise subjected to unlawful discrimination, harassment, or retaliation under, any TCSG program or activity because of the individual’s protected status; nor shall any individual be given preferential treatment because of the individual’s protected status, except the preferential treatment may be given on the basis of veteran status when appropriate under federal or state law.Columbus Technical College is an equal opportunity employer. All employment processes and decisions, including but not limited to hiring, promotion, and tenure shall be free of ideological tests, affirmations, and oaths, including diversity statements. The basis and determining factor for such decisions should be that the individual possesses the requisite knowledge, skills, and abilities associated with the role, and is believed to have the ability to successfully perform the essential functions, responsibilities, and duties associated with the position for which the person is being considered. At the core of any such decision is ensuring the institution’s ability to achieve its mission and strategic priorities in support of student success.For nondiscrimination information, please contact: Dr. Felicia Harris, Title IX Coordinator for Students – 706.641.5032, fharris@columbustech.edu Jennifer Thompson, Title IX Coordinator for Employees – 706.649.1883, jthompson@columbustech.edu Olive Vidal-Kendall, Section 504 Coordinator (ADA/Section 504) – 706.649.1442, ovidal-kendall@columbustech.edu All coordinators can also be reached at Columbus Technical College, 928 Manchester Expressway, Columbus, Georgia 31904-6572. Powered by JazzHR

Posted 30+ days ago

S logo

Computer Engineer

Synectic Solutions IncNorfolk, VA
The Computer Engineer II performs engineering work involving research, design, development, testing, and evaluation of computer hardware, software, and integrated systems. The role supports tasks across the system lifecycle, applying principles of computer science, mathematics, electrical engineering, and systems engineering to develop effective computing solutions. Responsibilities include hardware design, software development, network engineering, troubleshooting, and technical documentation. General Duties: Design, develop, test, and evaluate computer hardware components including chips, circuit boards, processors, and peripheral devices. Develop, test, and evaluate computer software systems supporting hardware and network operations. Design algorithms, data structures, and software architectures based on user and system requirements. Analyze user needs and develop new software applications or system-level solutions. Support development and testing of computer networks, distributed systems, and communication protocols. Conduct system integration, troubleshooting, and performance optimization. Apply programming languages such as C, C++, Java; familiarity with Fortran or COBOL is beneficial. Prepare engineering reports, design specifications, test documentation, and technical presentations. Collaborate with engineers, developers, technicians, and program teams. Participate in technical reviews, requirements discussions, and engineering working groups. Required Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering, Mathematics (with concentration in computer science), or a related discipline. Required Experience: 3 years of professional experience in computer design, software development, or computer networks. Skills & Competencies: Strong understanding of computer hardware and software engineering principles. Proficiency in programming languages (C, C++, Java). Experience with system design, testing, troubleshooting, and integration. Strong analytical, mathematical, and problem-solving abilities. Ability to work independently and in engineering teams. Effective communication and technical documentation skills. ​​​​​​​ What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply’ button below. Good luck! Powered by JazzHR

Posted 30+ days ago

Space Dynamics Laboratory logo

Student: Computer Vision Assistant

Space Dynamics LaboratoryNorth Logan, UT
Job ID: 6330Date Posted: February 9, 2026 Space Dynamics Laboratory (SDL) is seeking a Computer Vision Assistant to join our Strategic & Military Space Division (SMS). The ideal candidate is a highly skilled, motivated student that will work alongside our world class engineers developing and testing machine learning algorithms for space computer vision. Our students are an integral part of the development team and support project reviews, deliveries, and integration. This position will be temporary, covering hire through at least the end of June 2026. The selected candidate must be able to work as part of a larger computer vision team. You will need to own all aspects of your assigned responsibility alongside your mentor. The Strategic & Military Space Division delivers advanced satellite and sensor systems that support the Department of Defense and the Intelligence Community. Our division is a key component of national security, providing technological solutions and expert mission support. Become part of a team dedicated to making a tangible contribution to our nation’s defense capabilities. Key Responsibilities: Identifies and benchmarks state-of-the-art AI, machine learning and computer vision models on space-relevant datasets Writes modular, reusable code in Python and MATLAB to perform image analysis Compiles and presents results in a clear and repeatable manner Required Qualifications: Must be a U.S. citizen with the ability to obtain and maintain U.S. Government security clearance Must be currently enrolled at Utah State University majoring in a related field (i.e., electrical engineering, computer science, data science) Must be able to work 15-20 hours per week during school semesters and up to 40 hours per week during summer should employment continue into the summer Ability to work effectively, both independently and as a team member Strong written and verbal communication skills Strong programming experience in Python or MATLAB Experience with image processing in Python or MATLAB Experience with one or more of the following areas: Image Classification, Object Detection, Instance Segmentation, Super Resolution, Pose Estimation, SLAM, Photogrammetry, NeRF, Gaussian Splatting Familiarity with metrics for comparing the results of computer vision algorithms Experience with training, validation, and test workflows for machine learning Experience with the Git version control system Preferred Qualifications: Experience with image related machine learning packages such as PyTorch, Keras, and YOLO Experience with one or more MLOps platforms Experience with deployment of machine learning algorithms to embedded hardware Experience with deployment and testing of Vision Language Models Student Scholar Program: SDL provides unique opportunities for student employees to develop real-world experience and knowledge beyond the classroom through our Student Scholar Program. This program offers monthly technical workshops, outreach activities, and academic stipends to eligible student employees. All SDL student employees are invited to participate in the program to expand their professional network while supporting SDL's mission. SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success. At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners. The application window for this position is expected to remain open for approximately 7 days; however, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu. Powered by JazzHR

Posted 1 week ago

Kilgore College logo

Adjunct Instructor - Computer Information Technology

Kilgore CollegeKilgore, TX

$1,800 - $2,100 / project

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

Posted 30+ days ago

Loyola Marymount University logo

Part Time Faculty- Electrical And Computer Engineering

Loyola Marymount UniversityWestchester, CA

$2,517+ / project

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Electrical and Computer Engineering. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Electrical and Computer Engineering serves approximately 70 undergraduate majors and 20 graduate majors across four degree programs: Electrical Engineering BS/MS and Computer Engineering BS/MS. We have five full-time faculty members a well as a group of adjunct faculty members teaching the four programs. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/electricalandcomputerengineeringdepartment/ . The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. The applicants should have relevant teaching experience. Minimum Qualifications: Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education: A minimum of a bachelor's degree in relevant fields is required. A master's or doctorate level degree is preferred. Special Instructions: Interested applicants should contact the chairperson of the department, Dr. Jie Xu, via email jie.xu@lmu.edu and submit applications, including a cover letter and resume, as early as possible online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,517 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

Posted 30+ days ago

U-Haul logo

Field Computer Specialist

U-HaulPalm Harbor, FL
Return to Job Search Field Computer Specialist If you are detail-oriented, relish variety and feel at home around all kinds of technology, consider becoming U-Haul Company's newest Field Computer Specialist. In this role you will be responsible for all computer and security systems in your area, traveling from place to place to maintain equipment and train users. In exchange U-Haul provides excellent perks and benefits as well as a caring company culture. U-Haul offers its Field Computer Specialists: Full medical coverage, if eligible Prescription plans, if eligible Dental and vision plans Registered Dietitian Program, if eligible Gym Reimbursement Program Weight Watchers, if eligible Virtual doctor visits Career stability Opportunities for advancement Valuable on-the-job training Tuition Reimbursement Program Free online courses for personal and professional development at U-Haul University Business-travel insurance You Matter Employee Assistance Program Paid holidays, vacation and sick days, if eligible Employee Stock Ownership Plan (ESOP) 401(k) savings plan Life insurance Critical illness/group accident coverage 24-hour physician available for kids MetLaw Legal Program MetLife auto and home insurance Mindset App Program Discounts on cell phone plans, hotels and more LifeLock identity theft protection Savvy consumer-wellness programs - from health-care tips to financial wellness Dave Ramsey's SmartDollar Program U-Haul Federal Credit Union membership Field Computer Specialist Primary Responsibilities: Maintain maximum uptime for computer systems and associated broadband connectivity. Implement and maintain field computer systems for all entities within the assigned area. Support and train users as needed. Distinguish between user error and problems requiring escalation to other support teams or software vendors. Identify and coordinate solutions for security gaps and compliance issues. Participate in ongoing continuous U-Haul education through U-Haul University Field Computer Specialist Minimum Qualifications: Experience with technologies such as networking, administration, security-monitoring equipment, storage gates, alarm systems, doors, digital video equipment, printers, computers, VoIP, analog phones, air phones and cash drawers Current, valid driver's license and clean driving record Work Environment: The work involves moderate risks or discomforts which require special safety precautions, e.g., working around moving parts, machines, fumes or irritating chemicals. May be required to use protective clothing or gear such as masks, goggles, gloves or shields. Physical Demands: The work requires some physical exertion such as long periods both indoors and outdoors while remaining stationary, traversing spaces, repositioning to reach and use tools, and moving a minimum of 50 lbs assisted or unassisted. U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

Posted 1 week ago

T logo

Electromechanical Engineer- Signal Delivery (Computer Test Division; North Reading, MA)

Teradyne, Inc.North Reading, MA

$141,400 - $226,200 / year

Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Electromechanical Engineer to join our Compute Test instrumentation team focused on high-speed digital and RF signal delivery solutions for semiconductor test systems and related technologies in North Reading, MA. In this role you will be responsible for designing and releasing Signal Delivery solutions consisting of complex coax cable assemblies, PCBs and interposers. You will integrate across all development functions (Electrical, Mechanical, Systems engineer, Circuit design, Signal Integrity, Project management, etc.) to successfully bring up the new signal delivery product. You will: Design and analyze high-speed digital and RF signal delivery systems-including custom connectors, cables, PC boards, and interposers-supporting industry-standard interfaces (PCIe, UCIe, etc.) from MHz frequencies up to 224 Gbps Support product development from concept through production, ensuring signal integrity and reliability. Provide clear, data-driven risk assessments and technical reports to Program Management and Engineering Leadership Manage vendor selection and relationships. Developing requirements & design documentation Design verification planning and execution Signal verification and characterization Signal integrity analysis and simulation Collaborating with cross-functional teams including packaging, PCB layout, mechanical, and electrical engineering Familiararily with mechanical CAD tools- such as SolidWorks, PTC Creo Parametric, Siemens NX All About You We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position. BS or MS in Electrical or Mechanical Engineering or related field. 7+ years experience in signal integrity and high-speed electromechanical design Understanding of electromagnetic wave theory, transmission line theory, impedance matching, and related concepts. Experience with signal and power integrity simulations tools: Ansys, Cadence, or equivalent Experience with mechanical CAD packages- SolidWorks preferred Hands-on experience with lab equipment (oscilloscopes, TDR, VNA, PNA). Familiarity with PCB layout tools and fabrication processes. Strong analytical, problem-solving, and communication skills. Ability to collaborate with global engineering teams and mentor others. This position is not eligible for visa sponsorship Compensation: The base salary range for this role is $141,400-$226,200. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location. Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details. #LI-NS1

Posted 3 weeks ago

S logo

Adjunct Faculty In Computer Information Systems, Northwest Houston, TX Campus (Hybrid)

Strategic Education, Inc.Houston, TX

$2,300 - $3,100 / project

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. Campus Location: Northwest Houston, TX, Strayer Campus Address: 10343 Sam Houston Park Dr., Suite 110, Houston, TX 77064 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 undergraduate level Software Development/Programming class for the upcoming Spring quarter, starting April 6, 2026 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 Software Development, Programming or Software Engineering Management is required Education: Masters Degree in Computer Information Systems, Computer Technology, Software Development, Information Technology, etc. is required from a regionally accredited institution. 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. 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.

Posted 6 days ago

Admiral Beverage logo

Computer Programmer - EDI ( In Office Required)

Admiral BeverageRiverton, UT
Admiral Beverage believes in investing in its people, business partners, and communities, to continually grow and offer the best products and services in the region. With the strength of a large company combined with a small-town, friendly, family-driven mindset; we are here to grow with you. Admiral offers: competitive wages, a full-scale benefit program including health, dental, and vision coverage, 401(k) and retirement programs, paid leave and holidays, and much, much more! Current Admiral Beverage Employees (excluding Contractors): Please apply via your internal Workday Account. Job Description Summary Do you want an opportunity to build a career with a company that is invested in your professional development and success? Here are some of our Rewards We invest in your career development and internal mobility Full Benefit Package with exceptional 401K Tuition Reimbursement Product discounts Annual Performance bonus Did you know we have our own pharmacy? Job Description Primary Location: Worland, Wyoming EDI Coordinator: Administer all receiving and sending of all EDI documents and troubleshoot all processes to resolve data content issues and mapping problems. Utilize the in-house EDI software to complete these tasks: Coordinate with EDI VAN and new/existing Trading Partners to set up new processes and provide optimal level of customer support. Work with trading partners and perform tests on all EDI transmissions and maintain all documents for trading partner set ups and analyze all customer requirements for processes. Design all EDI map documents and prepare tests data and communication with trading partners and produce documents required for end users. Provide technological support to resolve issues and maintain processes to manage all inbound and outbound data. Perform troubleshooting and repairing of SQL scripts on everyday basis and evaluate all automated improvement processes. Assist internal and external technical staff in data transfer processes. Monitor electronic data every day for production transmissions and assist in electronic data transfer within required timeframe. Provide technical support to all EDI areas within the corporation and monitor all inquiries both internal and external. Analyze all EDI transactions and prepare required documents and reports and coordinate with service providers and application teams for all customers. Manage all communication with suppliers and perform all EDI tests for suppliers and design all new EDI documents. Coordinate with trading partners to maintain effective EDI relationships and provide support to internal departments and vendors. Prepare plans and manage EDI customer implementation to meet EDI requirements and manage implementation for same. Other duties may be assigned by the immediate supervisor or other supervisor at any time.

Posted 3 weeks ago

PlayOn logo

Senior Computer Vision Engineer

PlayOnAlpharetta, GA
We’re building the future of high school sports content at PlayOn Sports — where AI, video, and data come together to tell the story of every game. As a Senior Computer Vision Engineer on the Data Driven Content team, you’ll lead the development of computer-vision and machine-learning systems that extract real-time scores, statistics, and player-tracking data directly from live video across 250k+ games per year and five major sports. In this role, you’ll design, build, and optimize the full player-classification pipeline — detection, tracking, team assignment, jersey-number recognition, and role inference — while delivering the AI-enabled video initiative that turns commodity camera feeds into data-rich experiences: live stats, real-time highlights, and connected-app integrations that delight fans and power coaching tools. The ideal candidate combines hands-on ML engineering expertise with deep computer-vision knowledge and a passion for sports. You’re excited by the challenge of solving hard domain problems — single-camera far-field footage, low-resolution jersey numbers, extreme occlusion, and thousands of unseen uniform configurations — while shipping models that operate reliably at scale. The outcomes you’ll deliver Real-time score extraction: Deliver production-grade score data (time, scores, period/inning) from live video with no more than two minutes of latency, reaching alpha within one month and scale-readiness within six months. Statistics and player-tracking data: Build models that extract per-player and per-team statistics from video across football, basketball, baseball, volleyball, and soccer — with statistics at scale in nine months and player-tracking data at scale in twelve months. Player-classification pipeline: Deliver a robust, end-to-end system for player detection, multi-object tracking, team assignment, and jersey-number recognition that generalizes to unseen schools and uniforms at inference time. Build/buy/partner recommendations: Systematically evaluate internal models against external vendor solutions on speed, quality, and price, and deliver clear recommendations on where to build, buy, or partner. Fan engagement and retention: Power personalized highlights, live in-app stats, and coaching tools that move the KPIs that matter — session time, retention rates, and new subscriptions. In This Role, You Can Expect To Own the player-classification pipeline end-to-end: train and deploy detection (YOLO-family), tracking (DeepSORT-style), team-assignment, and jersey-number recognition models optimized for single-camera, far-field high school footage. Develop and maintain a video-tokenization model that maps video tokens to a sports taxonomy and ontology, delivering contextual outputs (scores, statistics, player tracking) optimized for venue-edge, cloud, and client deployment. Engineer scalable real-time pipelines that connect live video streams and scoring feeds to content outputs, statistics APIs, and our Unified Data Store (UDS) with sub-two-minute latency. Solve domain-generalization challenges: build models that perform reliably on unseen schools, uniforms, camera setups, and lighting conditions using techniques such as test-time adaptation, meta-learning, and contrastive pretraining. Design and run structured evaluations of external partner and vendor CV solutions, benchmarking against internal models on speed, accuracy, sport coverage, and cost to inform build/buy/partner decisions. Apply multimodal fusion techniques — combining video with audio, scoreboard overlays, rosters, and play-by-play — to improve extraction accuracy and enable richer fan experiences. Collaborate with Data Platform, BI/Analytics, Product, and academic research partners (including university collaborations) to advance PlayOn’s computer-vision capabilities and translate research into production. Monitor and optimize model performance for latency, accuracy, and cost efficiency across thousands of concurrent streams, using school-disjoint evaluation splits and difficulty-stratified test sets. To Thrive In This Role, You Have 4+ years in AI/ML engineering or applied research, with strong Python and ML frameworks (PyTorch, TensorFlow, or similar). Demonstrated experience with object detection and multi-object tracking pipelines (e.g., YOLO-family detectors, DeepSORT/ByteTrack) in video domains. Hands-on work with at least two of the following: jersey/number recognition or OCR at low resolution, team/appearance classification from crops, domain generalization or zero-shot transfer, or temporal aggregation across video frames. Familiarity with real-time data pipelines (Kafka/Confluent Cloud, Flink SQL, or Spark Streaming) and large-scale cloud infrastructure (AWS S3, Lambda, GPU instances, Snowflake). Strong skills in experimental design, model evaluation (mAP, IDF1/HOTA, per-class accuracy), and rigorous A/B testing against production baselines. Experience evaluating third-party AI/CV vendors or managing build-vs-buy technical assessments. Bonus: knowledge of sports analytics, prior work with multimodal fusion (video + audio + structured data), academic research collaboration, active learning or efficient annotation strategies, or experience optimizing models for edge deployment. How You Play Ownership over Participation – You take responsibility for achieving holistic outcomes, prioritize key objectives, and adapt quickly when situations require a different approach. You follow through even against the toughest challenges. Team over Stars – You are a bridge builder, establishing processes and relationships with teams outside your own. You rally around common goals, find win-win solutions, compromise when necessary, and help others succeed. Growth over Comfort – You are driven by a desire to grow and actively seek opportunities to expand your comfort zone, skills, and confidence. You embrace new challenges with curiosity, accepting discomfort and failure as opportunities to learn. Fairness over Popularity – You approach decisions with a scientist’s mindset, challenging assumptions and remaining objective. You consider long-term impact over short-term gains, proactively seek others’ perspectives, and manage emotions in decision-making. Company Overview PlayOn is a dynamic growth-stage company dedicated to championing the spirit of play in the high school space. Backed by KKR, our family of brands—including GoFan, NFHS Network, and MaxPreps—empowers schools with innovative solutions and exceptional service. Our fan engagement platform is the only one that offers event ticketing, streaming, fundraising, concessions, merchandise sales, and website management in one place. We save administrators time so they can focus on what truly matters: supporting the students, staff, and fans who bring their programs to life. Trusted by thousands of schools across the country, we're here to help create more instant replays, hold-your-breath moments, last-minute comebacks, and games you want to watch over and over again. When being there means everything, we make sure you never miss a moment. Why you’ll love working at PlayOn Product, potential, and people. We’re a leader in the high school event space, constantly evolving our product to meet the needs of administrators. We focus on solving real challenges, learning quickly, and creating impactful solutions. This is a growth-stage company, meaning your contributions have real impact. You’ll have opportunities to grow your skills, tackle meaningful problems, and make a difference in the lives of schools and the students and fans they serve. Our culture is built on accountability, collaboration, growth, and fairness. We don’t just show up—we show up for each other. Everyone wears the same jersey, and we play hard, make the extra pass, and cheer one another on. Losses teach us, challenges motivate us, and persistence drives us forward. We value integrity over shortcuts, choosing to do what’s right even when it’s hard. Together, we strive to be better every day—because we know that’s how we win as a team. The Benefits We Offer Multiple medical insurance plans to choose from Dental, vision life and disability insurance Employee Emergency Fund Company equity (stock options) Open PTO policy 401K plan with company match Hybrid/flexible work environment Note: Must be a full-time employee to participate in the company’s employee health benefit plan. Part-time employees and interns are not eligible to participate.

Posted 30+ days ago

Altamira Technologies logo

Computer Network Defense Analyst

Altamira TechnologiesWahiawa, Hawaii
Description Clearance: TS/SCI w/Full Scope Poly 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! 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). Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We focus on recruiting talented, self-motivated employees that find a way to get things done. Join our team of experts as we engineer national security!

Posted today

Convergent Research logo

Computer Vision and Machine Learning Intern

Convergent ResearchWatertown, MA

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Job Description

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.

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