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Research Machine Learning Federated Learning Jobs in Washington, DC

10a Labs

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 ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

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 ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

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 ...

10a Labs

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 ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD

Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put ...

Kitware

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 ...

Kitware

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 ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

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 ...

Kitware

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 ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

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 ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Washington, DC

Research Machine Learning Federated Learning information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

How much do research machine learning federated learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for research machine learning federated learning in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Researcher in Machine Learning Federated Learning, and why are they important?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is a Researcher in Machine Learning Federated Learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Research Machine Learning Federated Learning jobs in Washington, DC? For Research Machine Learning Federated Learning jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Research Machine Learning Federated Learning jobs in Washington, DC look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Washington, DC are:
Research Machine Learning Federated Learning jobs near you
Internship - Machine Learning (Python) Research & Applied AI

Internship - Machine Learning (Python) Research & Applied AI

Novateur Research Solutions

Ashburn, VA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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

Apply