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Remote Machine Learning Researcher Jobs in Washington, DC

Machine Learning Engineer

Washington, DC ยท On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

What We're Looking For * 3-5+ years of experience in machine learning, research engineering, or a ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

Machine Learning/AI Engineer

Merrifield, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

Machine Learning/AI Engineer

Merrifield, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

Machine Learning/AI Engineer

Merrifield, VA ยท Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

Machine Learning Engineer

Washington, DC ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Contributions to open-source ML projects or research publications * Experience in defense ...

Senior Machine Learning Engineer

Washington, DC ยท On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote USA Compensation: $180,000 - $250,000 / year Description Clearview AI is the leading ... This is a high-impact, hands-on role for a research-minded engineer who wants to build and ship ...

Engineer 3, Machine Learning-5125

Washington, DC ยท On-site +1

$126K - $165K/yr

... for the remote option.) Job Summary DUTIES: Contribute to a team responsible for building ... production; research, write, and edit documentation and technical requirements, including ...

New

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning ...

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... The ideal candidate brings a strong foundation in machine learning, data engineering, and MLOps ...

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Showing results 1-20

Remote Machine Learning Researcher information

See Washington, DC salary details

$34K

$128.1K

$186.3K

How much do remote machine learning researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning researcher in Washington, DC is $128,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $174,400.00 per year, depending on experience, location, and employer.

What is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a remote machine learning researcher?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.

What are popular job titles related to Remote Machine Learning Researcher jobs in Washington, DC?

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

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

The top searched job categories for Remote Machine Learning Researcher jobs in Washington, DC are:

Machine Learning Engineer

10a Labs

Washington, DC โ€ข On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 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