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Machine Learning Testing Jobs in Washington (NOW HIRING)

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... testing and debugging tasks, deploying into target environments, setting up monitoring, and ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... testing and debugging tasks, deploying into target environments, setting up monitoring, and ...

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... testing and debugging tasks, deploying into target environments, setting up monitoring, and ...

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... testing and debugging tasks, deploying into target environments, setting up monitoring, and ...

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... testing and debugging tasks, deploying into target environments, setting up monitoring, and ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced ... Experience with adversarial evaluations, robustness testing, or AI safety. * Experience with ...

... testing, and reporting; design proof of concept solutions and contribute to studies to support ... training Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch ...

New

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Solve complex problems by writing and testing application code, developing and validating ML models ...

Develop and implement comprehensive testing protocols, including smoke tests and unit tests, to ensure solution reliability. * Support the debugging process and issue triage to maintain solution ...

Showing results 21-40

Machine Learning Testing information

See Washington salary details

$15

$25

$35

How much do machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning testing in Washington is $25.85, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $28.85 per hour, depending on experience, location, and employer.

What is a machine learning testing?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the typical challenges faced by professionals in machine learning testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What are the key skills and qualifications needed to thrive in machine learning testing, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

How do I become a machine learning testing?

To become a machine learning testing professional, you typically need a strong background in computer science, programming skills in languages like Python or Java, and knowledge of machine learning frameworks such as TensorFlow or PyTorch. Gaining experience with data analysis, model evaluation, and testing methodologies, along with relevant certifications or training, can improve your qualifications for this role.

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

For Machine Learning Testing jobs in Washington, the most frequently searched job titles are:

Infographic showing various Machine Learning Testing 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 $53,762 per year, or $25.8 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA • On-site

Full-time

Posted 25 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 Bachelors 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.