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Remote Machine Learning Researcher Jobs in Gaithersburg, MD

Theory AI

Researcher

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Client work surfaces the same unsolved problems ... A research background in machine learning, statistics, or a quantitative field. A PhD is one route ...

New

Theory AI

Researcher

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Client work surfaces the same unsolved problems ... A research background in machine learning, statistics, or a quantitative field. A PhD is one route ...

New

Theory AI

Researcher

Washington, DC · Remote

$3.0K/wk

This is a Remote (work from home) position. Client work surfaces the same unsolved problems ... A research background in machine learning, statistics, or a quantitative field. A PhD is one route ...

New

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Requirements: * MUST HAVE Six (6) years of relevant experience in applied research, big data ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Requirements: * MUST HAVE Six (6) years of relevant experience in applied research, big data ...

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Remote Machine Learning Researcher information

See Gaithersburg, MD salary details

$32.4K

$122.2K

$177.7K

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

As of Aug 24, 2026, the average yearly pay for remote machine learning researcher in Gaithersburg, MD is $122,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $166,400.00 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 cities near Gaithersburg, MD are hiring for Remote Machine Learning Researcher jobs?

Cities near Gaithersburg, MD with the most Remote Machine Learning Researcher job openings:

Remote Machine Learning Researcher jobs near you

Researcher

Theory AI

Washington, DC • Remote

$3.0K/wk

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Benefits
  • Fully paid medical, dental and vision
  • 401(k) with employer contribution
  • Unlimited paid time off with a four-week minimum
  • $3,000 a year for conferences, courses and certifications
  • Home office budget and a choice of hardware
  • This is a Remote (work from home) position.

Client work surfaces the same unsolved problems repeatedly: how to evaluate refusal behaviour in a way that transfers across deployments, how to measure annotation quality when there is no gold standard, how to say something honest about a model whose failure modes are rare and consequential.

This role exists to work on those problems properly rather than around them each time. Part of your output is internal: methodology the delivery teams adopt. Part of it is external, because publishing is how a firm our size builds a reputation for knowing what it is talking about.

You will not be isolated from delivery. The problems come from real engagements, and the answers go back into them.

What you will do
  • Investigate evaluation and measurement problems arising from client engagements
  • Develop methodology the delivery teams can actually adopt, with the tooling to make it usable
  • Publish findings externally where the work supports it
  • Review the methodological soundness of what we claim to clients
  • Keep the firm current on relevant research and translate it into practice
What we need from you
  • A research background in machine learning, statistics, or a quantitative field. A PhD is one route, not the only one
  • Demonstrated original work, published or otherwise verifiable
  • Strong Python and the ability to build your own experimental tooling
  • Writes clearly for readers who are not specialists in your subfield
Nice to have
  • Published on evaluation, benchmarking, or measurement validity
  • Experience with human annotation as a research instrument
  • Comfortable presenting to non-research audiences, including clients