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Machine Learning Research Intern Jobs in Washington

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 ...

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 ...

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 ...

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

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 ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

Careers At Elder Research Current job opportunities are posted here as they become available ... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ...

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 ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems. Working as part of a ...

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Machine Learning Research Intern information

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How much do machine learning research intern jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for machine learning research intern in Washington is $25.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $29.23 per hour, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Washington?

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The top searched job categories for Machine Learning Research Intern jobs in Washington are:

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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $52,359 per year, or $25.2 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer
General Information
Requisition #728
Locations USA-VA-Chantilly
Posting Date 07/24/2026
Security Clearance Required - TS/SCI + CI Poly
Remote Type N/A
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team in Chantilly, VA.
Responsibilities include but are not limited to:
  • Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.
  • Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.
  • Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
  • Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.
  • Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
  • Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.

Minimum Qualifications:
  • Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
  • Minimum 3 years of experience with a Bachelor's degree
  • Proficiency in Python and SQL
  • Familiarity with Javascript, Containerization (Docker/ Rocky Linux)
  • Familiarity with developing & managing API endpoints (Rest and FastAPI)
  • Familiarity with developing agenticAI workflows/systems
    • Langchain, LangGraph, OpenAI Agents, Pydontic
    • UVicorn (webserver)
  • Streamlit (web apps)

Preferred Qualifications:
  • Familiarity with Multi-agent orchestration
  • Familiarity with Cybersecurity (Mandiant)
  • AWS Cloud experience
  • Experience with Graph Analysis
  • Security Plus

Clearance Requirements:
  • Must have an active TS/SCI + Poly

Physical Requirements:
  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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