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Remote Machine Vision Engineer Jobs in Washington

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

... to train computer vision models. This requires coding in Python with PyTorch/PyTorch3D ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

... computer vision algorithms. This requires coding in Python with PyTorch, implementing and ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$80K - $108.10K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$71.10K - $96.20K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Comprehensive Health & Benefits - Medical, dental, and vision coverage to keep you and your family ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

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Remote Machine Vision Engineer information

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

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.
What are the most commonly searched types of Machine Vision Engineer jobs in Washington? The most popular types of Machine Vision Engineer jobs in Washington are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Washington? For Remote Machine Vision Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Washington look for? The top searched job categories for Remote Machine Vision Engineer jobs in Washington are:
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Remote Machine Vision Engineer jobs near you

TS206 Computer Vision Engineer

Warriors Solutions

Chantilly, VA • On-site, Remote

$160K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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.