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Quantitative Researcher Machine Learning Jobs in Washington, DC

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... You will collaborate closely with researchers, software engineers, red teamers, and subject-matter ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Support program with R&D and customer-facing goals, to speed the transition of novel applied ...

New

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Quantitative Researcher Machine Learning information

See Washington, DC salary details

$59.5K

$135K

$222.6K

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

As of Jul 26, 2026, the average yearly pay for quantitative researcher machine learning in Washington, DC is $134,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $172,700.00 per year, depending on experience, location, and employer.
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Internship - Machine Learning (Python) Research & Applied AI

Internship - Machine Learning (Python) Research & Applied AI

Novateur Research Solutions

Ashburn, VA • On-site

Other

Posted 17 days ago


Job description

Internship Opportunity — Machine Learning (Python) | Research & Applied AI


Novateur Research Solutions, LLC is looking for motivated interns with strong Python programming skills to join our team working on cutting-edge machine learning and data-driven research.

We work on challenging, real-world problems where ML meets large-scale systems and complex data—ranging from healthcare to geospatial intelligence and simulation.

What you'll work on:

  • Medical image analysis (computer vision for healthcare applications)
  • Geospatial data mining and spatial intelligence
  • Long-term spatiotemporal modeling and forecasting
  • Large-scale microsimulation and computational modeling

Required Skills:

  • Strong Python programming ability
  • Experience with PyTorch or TensorFlow
  • Solid understanding of machine learning fundamentals
  • Comfort working with data structures and debugging code
  • Ability to learn quickly in a research-oriented setting

What you'll gain:

  • Hands-on experience solving real-world ML research problems
  • Exposure to interdisciplinary AI applications
  • Mentorship from experienced researchers and engineers
  • Opportunity to contribute to impactful, production-relevant research