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Remote Machine Vision Engineer Jobs in Washington, DC

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... The position also emphasizes experience with Computer Vision, NLP, Deep Learning, LLMs, Agentic AI ...

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 ...

Meso Scale Discovery

Software Engineer

Gaithersburg, MD · On-site +1

$78K - $116K/yr

The position involves developing technical solutions that incorporate artificial intelligence (AI), machine learning (ML), computer vision, and IoT to solve complex scientific and engineering ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

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All JobsMachine Vision Engineer JobsRemote Machine Vision Engineer JobsRemote Machine Vision Engineer Jobs in Washington, DC

Remote Machine Vision Engineer information

See Washington, DC salary details

$35.7K

$145.8K

$219.2K

How much do remote machine vision engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine vision engineer in Washington, DC is $145,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $175,600.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a remote machine vision engineer?

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 are popular job titles related to Remote Machine Vision Engineer jobs in Washington, DC?

For Remote Machine Vision Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Vision Engineer jobs in Washington, DC look for?

The top searched job categories for Remote Machine Vision Engineer jobs in Washington, DC are:

Remote Machine Vision Engineer jobs near you
Infographic showing various Remote Machine Vision Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 100% Remote job distribution, with an average salary of $145,843 per year, or $70.1 per hour.

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

About the Role

We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications.

This role combines strong ML engineering with an experimental mindset. You will work on problems involving reinforcement learning, model evaluations, language models, multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems.

You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts supporting leading AI organizations.

What You'll Do
  • Design and run ML experiments to evaluate the capabilities, behavior, robustness, and limitations of advanced AI systems.
  • Develop and evaluate models across reinforcement learning, NLP/LLMs, computer vision, and multimodal ML.
  • Build evaluation pipelines, benchmarks, datasets, and metrics for frontier AI systems.
  • Train, fine-tune, and evaluate models for safety, security, and other high-impact applications.
  • Develop reliable tooling and infrastructure to run ML experiments and evaluations at scale.
  • Analyze results, identify model failure modes, and translate findings into new experiments and technical approaches.
What We're Looking For
  • 3-5+ years of experience in machine learning, research engineering, or a related technical field.
  • Strong Python skills and experience with ML frameworks such as PyTorch or JAX.
  • Hands-on experience training, fine-tuning, or evaluating modern ML models.
  • Strong understanding of experimental design, model evaluation, and quantitative analysis.
  • Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents.
  • Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
  • Strong software engineering fundamentals and the ability to work independently on ambiguous technical problems.
Nice to Have
  • Experience with RLHF/RLAIF, reward modeling, policy optimization, or other model post-training techniques.
  • Experience evaluating frontier language or multimodal models.
  • Experience with adversarial evaluations, robustness testing, or AI safety.
  • Experience with distributed training, cloud ML infrastructure, or large-scale ML systems.

We don't expect candidates to have experience across every area above. We value deep ML expertise, strong experimental instincts, and the ability to quickly learn new techniques.

Compensation & Benefits
  • Salary Range: $130K-$200K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

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