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Remote Mechanical Engineering Machine Learning Jobs in Ashburn, VA

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

This role combines strong ML engineering with an experimental mindset. You will work on problems ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage

Thomson Reuters

Machine Learning Engineer

Mclean, VA · On-site +1

About the Role As a Machine Learning Engineer, you will be responsible for selecting, developing ... with engineering and research teams to design, build, deploy, monitor, and maintain scalable ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... Engineering skills who shares our most important values: * You're fanatical about polish. Every ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Varsity Tutors

Mechanical Engineering Tutor

Fairfax, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

... engineering, machine learning algorithms, statistical analysis, and data science. * Prepare ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

... engineering, machine learning algorithms, statistical analysis, and data science. * Prepare ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Comcast

Engineer 3, Machine Learning-5125

Washington, DC · On-site +1

$126K - $165K/yr

... for the remote option.) Job Summary DUTIES: Contribute to a team responsible for building ... Master's degree, or foreign equivalent, in Computer Science, Engineering, or related technical ...

Capital One

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 ... In this role, you'll be expected to perform many ML engineering activities, including one or more ...

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Remote Mechanical Engineering Machine Learning information

See Ashburn, VA salary details

$46.5K

$105.2K

$170.3K

How much do remote mechanical engineering machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote mechanical engineering machine learning in Ashburn, VA is $105,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a remote mechanical engineering machine learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Ashburn, VA?

The most popular types of Mechanical Engineering Machine Learning jobs in Ashburn, VA are:

What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Ashburn, VA?

For Remote Mechanical Engineering Machine Learning jobs in Ashburn, VA, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Ashburn, VA look for?

The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Ashburn, VA are:

Remote Mechanical Engineering Machine Learning jobs near you

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago

Job description

About the Role

We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications.

This role combines strong ML engineering with an experimental mindset. You will work on problems involving reinforcement learning, model evaluations, language models, multimodal systems, and classifiers, taking ambiguous technical questions and turning them into rigorous experiments and scalable systems.

You will collaborate closely with engineers, analysts, red teamers, and subject-matter experts supporting leading AI organizations.

What You'll Do
  • Design and run ML experiments to evaluate the capabilities, behavior, robustness, and limitations of advanced AI systems.
  • Develop and evaluate models across reinforcement learning, NLP/LLMs, computer vision, and multimodal ML.
  • Build evaluation pipelines, benchmarks, datasets, and metrics for frontier AI systems.
  • Train, fine-tune, and evaluate models for safety, security, and other high-impact applications.
  • Develop reliable tooling and infrastructure to run ML experiments and evaluations at scale.
  • Analyze results, identify model failure modes, and translate findings into new experiments and technical approaches.
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 JAX.
  • Hands-on experience training, fine-tuning, or evaluating modern ML models.
  • Strong understanding of experimental design, model evaluation, and quantitative analysis.
  • Familiarity with agentic AI fundamentals, including common harnesses, Model Context Protocol, agent benchmarks, and security risks to AI agents.
  • Experience in one or more of the following: reinforcement learning, NLP/LLMs, computer vision, or multimodal ML.
  • Strong software engineering fundamentals and the ability to work independently on ambiguous technical problems.
Nice to Have
  • Experience with RLHF/RLAIF, reward modeling, policy optimization, or other model post-training techniques.
  • Experience evaluating frontier language or multimodal models.
  • Experience with adversarial evaluations, robustness testing, or AI safety.
  • Experience with distributed training, cloud ML infrastructure, or large-scale ML systems.

We don't expect candidates to have experience across every area above. We value deep ML expertise, strong experimental instincts, and the ability to quickly learn new techniques.

Compensation & Benefits
  • Salary Range: $130K-$200K, depending on experience and location
  • Bonus: Performance-based annual bonus
  • Professional Development: Support for conferences, continuing education, or leadership training
  • Work Environment: Fully remote, U.S.-based
  • Health Benefits: Comprehensive health, dental, and vision coverage
  • Time Off: Generous PTO and paid holiday schedule

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