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Fall Machine Learning Co Op Jobs in Lorton, VA (NOW HIRING)

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... communicate with co-workers, management, and customers, via email, phone, & or virtual ...

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Fall Machine Learning Co Op information

See Lorton, VA salary details

$25.8K

$43.1K

$89K

How much do fall machine learning co op jobs pay per year?

As of Aug 12, 2026, the average yearly pay for fall machine learning co op in Lorton, VA is $43,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,500.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What job categories do people searching Fall Machine Learning Co Op jobs in Lorton, VA look for? The top searched job categories for Fall Machine Learning Co Op jobs in Lorton, VA are:
What cities near Lorton, VA are hiring for Fall Machine Learning Co Op jobs? Cities near Lorton, VA with the most Fall Machine Learning Co Op job openings:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Lorton, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,060 per year, or $20.7 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

Full-time

Posted 19 days ago

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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