Computer Vision Engineer Remote Jobs in Virginia (US)
This page tracks remote computer vision engineer openings that are location-eligible for Virginia.
This page tracks remote computer vision engineer openings that are location-eligible for Virginia.
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Faça parte de uma empresa líder que dá vida ao potencial das plantas.
Role Description We're looking for a Principal Computer Vision Engineer to lead the design, development, and scaling of our Digital Biological Assessment systems — one of the most advanced drone-based computer vision platforms in agriculture R&D. You will process hundreds of terabytes of aerial imagery annually, build machine learning models that replace manual field assessments, and lead a team of engineers pushing the boundaries of what's possible in precision agriculture. What You'll Do - Lead a team of computer vision engineers, setting technical direction and developing talent - Architect and maintain end-to-end image analysis systems — from drone capture through ML inference to data output - Write production-quality Python code for image processing, photogrammetry pipelines, and ML model deployment - Design and train machine learning models for plant counting, height measurement, health assessment, and disease/weed detection from aerial imagery - Manage AWS cloud infrastructure supporting large-scale image processing workloads - Drive the integration of emerging technologies (large vision-language models, foundation models) into the assessment pipeline - Collaborate cross-functionally with R&D biologists, IT, and operational teams to translate scientific needs into technical solutions - Communicate the team's vision and results to stakeholders at all levels, including executive leadership Qualifications - Ph.D. or M.Sc. in Computer Science, Machine Learning, Remote Sensing, or related field - 10+ years of experience in computer vision and data engineering, with deep ML expertise - 3+ years of people management experience leading technical teams - Strong hands-on Python and Linux skills — you still write code and make architectural decisions - Experience with photogrammetry (Metashape, Pix4D, or equivalent) and/or drone-based remote sensing - Proven ability in building and operating large-scale image processing pipelines on AWS - Excellent communication skills — you can explain complex technical concepts to non-technical stakeholders and influence across organizational boundaries - Fluent English (written and spoken) Requirements - Experience in agriculture, crop science, or precision farming applications - Background in multispectral/hyperspectral sensor data analysis - Experience with large vision-language models or foundation models for vision - Experience in fast-moving startup environments Benefits - Unmatched scale: Few teams anywhere process computer vision at this volume — hundreds of terabytes of drone imagery per year across global field trials - Real-world impact: Your work directly accelerates the development of crop protection products that help feed the world sustainably - Innovation freedom: Strong leadership support, dedicated budget, and room to explore cutting-edge AI/ML approaches - Flexible work: Remote-friendly with occasional travel to Basel (1–2x/year). We prioritize the best talent regardless of location - Growth path: Clear trajectory to R&D or Digital leadership roles at the leadership team level
We are a Y-Combinator-backed startup building your AI-powered Recruiter Agent
Role Description We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required—your expertise in Computer Science is the primary qualification. Key Responsibilities - Technical Analysis & Problem Solving - Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains. - Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices. - Ensure technical accuracy, logical consistency, and clarity in all deliverables. - Content Development & Documentation - Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups. - Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation. - Create structured technical explanations that improve AI understanding and reasoning. - AI Model Evaluation - Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles. - Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback. - Support the evaluation and continuous enhancement of AI-driven tools through domain expertise. - Collaboration & Quality Improvement - Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality. - Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance. - Collaborate in a remote environment while maintaining high-quality deliverables and documentation. Qualifications - Bachelor's, Master's, or PhD in Computer Science or a related field. - Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering. - Experience writing technical documentation, research papers, system design documents, or technical reports. - Excellent analytical, problem-solving, and critical thinking skills. - Strong written and verbal communication skills with the ability to explain complex technical concepts clearly. - Ability to work independently and deliver high-quality work in a remote environment. Preferred Qualifications - Expertise in one or more specialized domains such as: - Algorithms & Data Structures - Distributed Systems - Computer Networks - Databases - Artificial Intelligence & Machine Learning - Cloud Computing - Cybersecurity - Experience participating in technical reviews, research projects, or open-source contributions. - Proven ability to simplify complex technical concepts for both technical and non-technical audiences. - Familiarity with current trends and emerging technologies in computer science. Must-Have Skills - Computer Science - Algorithms & Data Structures - System Design - Technical Documentation - Problem Solving Good-to-Have Skills - Distributed Systems - Databases - Networking - Artificial Intelligence - Research & Publications - Open Source Contributions - Software Engineering - Technical Reviews
Headquartered in Philadelphia, Pennsylvania, Comcast was established in 1963 as a single-system cable company. Over the years, Comcast experienced tremendous gr
Role Description Comcast Business is scaling Computer Vision–powered solutions as part of the Advanced Technology Solutions portfolio. The “Sr. Director- Computer Vision Solutions” is a customer-facing technical sales leader responsible for owning funnel growth, solution design, technical credibility, sales results, and deployment success across enterprise customers for our Comcast Business Vision Intelligence and IoT portfolio. The primary responsibility is driving revenue growth. Customer-Facing Expertise - Lead technical discovery with enterprise customers to understand environments, workflows, constraints, customer needs/pain-points, and success criteria in order to build a robust funnel. - Design end-to-end Vision Intelligence solutions spanning cameras, sensors, networking, software, and integrations to move qualified opportunities through the funnel. - Drive revenue growth through winning enterprise opportunities in the funnel. - Collaborate tightly with the Comcast Business Enterprise sales organizations as an overlay sales team. Technical Leadership in Sales & Pre-Sales Motions - Serve as the lead Solutions Architect / Sales Engineer in complex customer engagements, collaborating closely with the product organization. - Support Sales teams through technical presentations, discovery and qualification, pricing/proposal delivery, and architecture security reviews. - Respond to technical RFP/RFI requirements and clearly articulate technical tradeoffs, risks, and feasibility. - Lead a team of technical sales facing direct reports. - Collaborate with the Product team to build and deliver on customer requirements. Pilot Execution & Field Enablement - Architect and guide field pilots including site readiness, hardware validation, and network assessments. - Partner with Product, Marketing, and Operations to troubleshoot and optimize real-world deployments. - Drive pilot-to-production transitions with clear technical recommendations and value. Product & Marketing Partnership - Act as the technical voice of the customer, translating field learnings into product and architecture feedback to Product and Marketing teams. - Collaborate tightly with the Marketing team to shape marketing campaigns, messaging, enterprise sales enablement tools, and provide technical and eco-system expertise. Qualifications - 5+ years in Vision Intelligence / Computer Vision enterprise sales roles. - 10+ years in enterprise technology ecosystem. - Deep technical experience with computer vision, video systems, IoT, and networking. - Proven ability to design and communicate complex systems to both technical and executive stakeholders. - Professional communication and executive presentation skills. - Hands-on experience supporting enterprise pilots and production deployments. - Sales leadership experience and proven large enterprise technical sales success. - Travel 50%. Requirements - Understand our Operating Principles; make them the guidelines for how you do your job. - Own the customer experience - think and act in ways that put our customers first. - Know your stuff - be enthusiastic learners, users and advocates of our technology. - Win as a team - make big things happen by working together. - Be an active part of the Net Promoter System. - Drive results and growth. - Support a culture of inclusion in how you work and lead. - Do what's right for each other, our customers, investors, and our communities. Benefits - Base pay within the posted range for this role, dependent on job-related, non-discriminatory factors such as experience. - Most sales positions are eligible for a Commission under the terms of an applicable plan. - Most non-sales positions are eligible for a Bonus. - Best-in-class Benefits to eligible employees. - Support for physical, financial, and emotional needs through various options and tools. Education - Bachelor's Degree preferred, or a combination of coursework and experience, or extensive related professional experience. Certifications - Relevant Work Experience: 10 Years + Company Description Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description - Benchmark baseline model performance on a representative image sample. - Measure accuracy against a held-out set and assess data quality. - Evaluate the realistic performance ceiling of the computer vision system. - Translate findings into a decision-grade report for a non-technical executive audience. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Must-Have: 5+ years in computer vision and ML engineering. - Experience classifying or grading physical objects from images. - Strong evaluation discipline in representative sampling and accuracy benchmarking. - Ability to assess feasibility and communicate clearly to a non-technical audience. - Preferred: Experience with authentication, counterfeit, or anomaly detection. - Exposure to private equity diligence or time-boxed advisory work. - Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment. Requirements - Contract type: Hourly contractor. - Compensation: $135/hour. - Location: Remote. - Duration: 3–4 weeks. - Commitment: 20+ hours/week. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: here . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Booz Allen Hamilton is an award-winning provider of strategic innovation, management consulting, technology, and engineering services. Founded in 1914, the comp
Countering Weapons Of Mass Destruction, Computer Programming Subject Matter Expert Location: Arlington United States Full time job requisition id R0240753 CWMD Computer Programming SME The Opportunity: As an expert programmer, your ability to design and develop innovative solutions inspires you to think bigger, push further, and drive technical advancements forward. We need your specialized skills to tackle some of our clients’ most complex programming challenges and enhance national security through computational precision. As a CWMD Computer Programming SME, you’ll bring your expertise in Python, C++, and Visual Basic to design and implement robust modeling systems that evaluate the impacts of CBRN threats on Air Force operational readiness and air operations. You’ll work alongside defense thought leaders to create accurate simulations and computational frameworks that strengthen CWMD capabilities and mitigate risks. Work with us to develop scalable, repeatable systems tailored to Air Force mission objectives. Implement simulations and models that deliver actionable insights on CBRN impact mitigation and contribute to operational resilience and readiness. You Have: - Experience designing and developing complex software simulations and tools utilizing Python, C++, and Visual Basic for CBRN environments - Knowledge of programming algorithms, systems programming, and simulation modeling frameworks aligned with CWMD policies and air operations - Ability to integrate scientific data into computational models to address CBRN readiness challenges and operational resilience requirements - Top Secret clearance - Bachelor’s degree in CS or Engineering Nice If You Have: - Experience delivering software solutions tailored to CBRN threat mitigation and air operations - Knowledge of mathematical modeling, risk assessment processes, and geospatial software tools used in operational simulation - Ability to create scalable computational solutions that integrate with CBRN operational platforms with minimal disruption to field operations - Master’s degree in Computational Engineering, Mathematics, or Systems Programming - Advanced Tool-specific Programming Certification such as Python Advanced Development Certification, or CBRN-specific Computational Approaches Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. 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.
Des bijoux intemporels, imaginés pour accompagner les femmes chaque jour.
Role Description Soreli Paris is looking for a skilled AI image creator to produce visuals for our jewelry collections (rings, necklaces, bracelets, earrings). You will receive a complete, detailed Art Direction document — no guessing, no creative interpretation needed. - Generate AI images for 4 jewelry collections using Midjourney v6+ and/or Stable Diffusion - Strictly follow our 7 visual pillars: - absolute black/gold contrast - warm golden hour lighting - ultra-pronounced bokeh - precise model expressions - black gloves signature - tight fashion editorial framing - glowing skin - Deliver images in portrait ratio 3:4 or 4:5, maximum quality (8K prompt quality) - Self-validate each image against our 15-point checklist before delivery - Perform light post-production adjustments when needed (contrast, warm tones, gold luminosity) - Communicate clearly in English and iterate quickly on feedback Qualifications - Advanced Midjourney v6+ and/or Stable Diffusion — precise control of depth of field, light temperature, expression - Strong understanding of photography vocabulary: bokeh, golden hour, backlighting, shallow depth of field, fashion editorial - Ability to deliver on-brief from batch #1 — our Art Direction is detailed enough - Fast turnaround and availability for batch deliveries (10–30 images per collection) - Good written English for communication Requirements - Portfolio showing fashion, jewelry, or luxury AI imagery (strong advantage) - Experience with warm/cinematic tone grading (sepia, golden tones — no cold/blue lighting) - Automatic rejection if: - No portfolio submitted - Portfolio shows cold/blue lighting or flat e-commerce style - Test question answer is vague, incomplete, or missing - ⚡ MANDATORY TEST QUESTION — answer this in your application: - « In Midjourney, how do you achieve ultra-pronounced bokeh with a sharp focus on a jewelry piece in the foreground? What keyword combination do you use to simulate warm golden hour lighting? Please provide a full prompt example. » Benefits - 100% remote — work from anywhere, at your own hours - Complete Art Direction document provided from day one — no creative guesswork - Payment per delivery batch (per image or per batch), negotiated based on your market - Payoneer, Wise, Upwork, or your preferred international payment method - Regular work: new collections every 6–8 weeks - Long-term partnership for the right profile — we value consistency over one-shot projects Company Description Soreli Paris est une marque de bijoux inspirée par l’élégance parisienne : minimalisme, lignes intemporelles et sens du détail. Nous créons des pièces en acier inoxydable 316L, pensées pour accompagner le quotidien — durables, confortables et résistantes à l’eau. Notre ambition : proposer des bijoux raffinés, faciles à porter, qui subliment sans en faire trop.
Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Equal Employment Opportunity Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.
Role Description - Benchmark baseline model performance on a representative image sample. - Measure accuracy against a held-out set and assess data quality. - Evaluate the realistic performance ceiling of the computer vision system. - Translate findings into a decision-grade report for a non-technical executive audience. - Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications - Must-Have: - 5+ years in computer vision and ML engineering. - Experience classifying or grading physical objects from images. - Strong evaluation discipline in representative sampling and accuracy benchmarking. - Ability to assess feasibility and communicate clearly to a non-technical audience. - Preferred: - Experience with authentication, counterfeit, or anomaly detection. - Exposure to private equity diligence or time-boxed advisory work. - Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment. Requirements - Contract type: Hourly contractor. Company Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Title: Part-Time Faculty - Computer Science (Graduate Level - Online) Location: Remote, USA Job Description: The College of Arts and Science at Anderson University (South Carolina) invites applications for online instructional positions in our Computer Science M.S. degree. Areas of immediate need include online courses at the graduate level in algorithms/data structures, computational theory, hardware/architecture, and networking/OS. Minimum requirements: Master’s degree in Computer Science or Computer Engineering to include 18 graduate hours in the teaching discipline. College-level teaching experience preferred. Classes are fully remote; however opportunity for an in-person/hybrid component to the course is available. Anderson University is a selective, student-centered Christian university providing a challenging education grounded in the liberal arts, enhanced by professional and graduate programs and a co-curricular focus on the development of character, servant leadership, and cultural engagement. Our faculty strive to provide students with the knowledge to discover, build, serve, create, succeed, and innovate. Affiliated with the South Carolina Baptist Convention, we seek to attract culturally and academically diverse faculty of the highest caliber, active in the scholarship of teaching, discovery, application, and integration of faith. About our Commitment to Fairness in Employment Anderson University does not unlawfully discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, religion, genetic information, veteran or military status, or any other basis on which the University is prohibited from discrimination under the local, state, or federal law, in its employment or in the provision of its services, including but not limited to its programs and activities, admissions, educational policies, scholarship and loan programs, and athletic and other University-administered programs. As a Christian institution of higher education, Anderson University is entitled to certain religious accommodations under federal and state law, including Title IX of the Education Amendments Act and Title VII of the Civil Rights Act. For questions or concerns contact the Office of Human Resources.
• Own the development and deployment of advanced CV models — object detection, multi-object tracking, camera calibration, and semantic segmentation — for player tracking across multiple sports • Build and scale high-performance pipelines for video and image data ingestion, processing, and analysis that hold up under the demands of professional and collegiate programs • Contribute across the full CV/ML lifecycle, from data gathering, model development and training through production deployment, monitoring, and iterative refinement • Drive R&D initiatives including 3D body pose tracking, real-time analysis systems, and integration with LLM/NLP research — with real latitude to explore within the scope of each project • Collaborate closely with Software Engineering, Product, and Data Ops to ensure your work is understood, integrated, and used correctly downstream
• Build and train CV models for sports video: player/ball detection, multi-object tracking, pose/keypoints, event/action recognition, identity association (re-ID). • Own the experimentation loop: hypotheses → ablations → error analysis → measurable improvements. • Design and maintain evaluation: task-appropriate metrics (e.g., MOT metrics, keypoint accuracy, event precision/recall), dataset slices, and failure taxonomy. • Improve data efficiency: augmentations, sampling strategies, handling label noise, weak/self-supervision where helpful. • Prototype and iterate on modern architectures (e.g., transformer-based detection/tracking, temporal models, multi-task setups). • Collaborate on dataset + labeling design: formats, schemas, tooling, versioning. • Help productionize models: packaging, batch/stream inference patterns, throughput/latency tradeoffs, robustness checks. • Add lightweight quality gates: reproducibility, automated eval, regression detection.
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Python, PyTorch, AWS, Cloud, Linux, FFmpeg