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Remote Computer Vision Postdoc Jobs in Washington, DC

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Generate and analyze synthetic data to augment computer vision models where real-world data is ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... You'll implement computer vision machine learning applications using existing and emerging ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ... You'll implement computer vision machine learning applications using existing and emerging ...

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Remote Computer Vision Postdoc information

What are the key skills and qualifications needed to thrive as a Remote Computer Vision Postdoc, and why are they important?

To thrive as a Remote Computer Vision Postdoc, you need a solid background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Proficiency with deep learning frameworks (such as TensorFlow or PyTorch), coding languages like Python or C++, and experience with large-scale data processing are essential. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in collaborative, research-driven environments. These competencies ensure you can independently advance research objectives, contribute innovative solutions, and work efficiently with distributed teams.

What are some common challenges faced by remote Computer Vision Postdocs, and how can they be addressed?

Remote Computer Vision Postdocs often encounter challenges related to collaboration and access to computational resources. Since much of the work involves large datasets and high-performance computing, ensuring secure and efficient remote access to servers and data is crucial. Effective communication with mentors and team members, often across different time zones, requires proficiency with collaboration tools and proactive scheduling. To address these challenges, it can be helpful to establish regular check-ins, document workflows clearly, and leverage cloud-based platforms for data processing and code sharing.

What is a Remote Computer Vision Postdoc?

A Remote Computer Vision Postdoc is a research position for individuals who have recently completed their Ph.D. and are specializing in the field of computer vision, all while working remotely. These postdoctoral researchers typically conduct advanced studies on topics such as image recognition, object detection, and machine learning algorithms, often collaborating with academic institutions or industry labs. The remote aspect allows for flexible work locations, making it possible to join international teams and contribute to projects from anywhere in the world. This role often emphasizes publishing research, developing prototypes, and contributing to open-source projects.
What are popular job titles related to Remote Computer Vision Postdoc jobs in Washington, DC? For Remote Computer Vision Postdoc jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Computer Vision Postdoc jobs in Washington, DC look for? The top searched job categories for Remote Computer Vision Postdoc jobs in Washington, DC are:
Remote Computer Vision Postdoc jobs near you
Infographic showing various Remote Computer Vision Postdoc job openings in Washington, DC as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 5% Physical, 5% Hybrid, and 90% Remote job distribution.

TS206 Computer Vision Engineer

Warriors Solutions

Chantilly, VA • On-site, Remote

$160K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Position Title: Senior Computer Vision Engineer
Requisition ID: TA206
Location: Remote
Application Deadline: We are accepting applications on an ongoing basis
Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation's defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.
Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.
Job Description
Trusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.
Key Responsibilities
  • Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.
  • Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.
  • Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.
  • Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.
  • Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.

Qualifications
  • United States citizenship required
  • Bachelor's degree in Imaging Science, Computer Science, Computer Vision, or related field
  • 8+ years of experience in Computer Vision
  • 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features
  • Strong Proficiency in Python, C++, or other relevant languages
  • Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn
  • Strong foundation in mathematics, statistics, and linear algebra
  • Ability to identify and solve complex problems related to imagery analysis
  • Presenting technical choices and trade-offs to executives and non-technical clients
  • Ability to effectively communicate technical information to executives and non-technical audiences

Desired Skills
  • Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science
  • Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection
  • Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune
  • Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors
  • Experience building and designing modern architectures such as CNNs and Vision Transformers
  • Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results
  • Experience with modern offline data labeling techniques
  • Active TS/SCI clearance or eligibility to obtain one

Salary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.
Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.
Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.
DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.