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Remote Mechanical Engineering Machine Learning Jobs

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

NSS

Machine Learning Engineer

Concord, NC · Remote

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

... developer, you will be responsible for feature development to deliver AI and machine learning ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Huzzle

AI Engineer - Remote

Requirements * 3+ years of experience in AI engineering, machine learning, or software engineering ... Experience working in remote or distributed teams is a plus. Benefits Competitive salary based on ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We are building an AI-driven simulation software stack for engineering and manufacturing across ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

You are someone who can grasp advanced engineering concepts across multiple industries, and excel ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

Serve Robotics

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... Bachelor's degree in computer science, mathematics, software engineering, data science, or a ...

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 ...

Onsights

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a ...

System One

Senior Mechanical Engineer - Remote

Denver, CO · Remote

$65 - $75/hr

Remote Mechanical Engineer Location: Richland, WA Contract Duration: Contract with potential for ... This role is ideal for a hands-on engineering professional who is experienced across the full ...

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All JobsRemote Mechanical Engineering Machine Learning Jobs

Remote Mechanical Engineering Machine Learning information

See salary details

$45.5K

$102.9K

$166.5K

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

As of Jun 22, 2026, the average yearly pay for remote mechanical engineering machine learning in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 per year, depending on experience, location, and employer.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, or predictive maintenance. Gaining skills in programming languages like Python, and understanding of machine learning frameworks, can facilitate their transition into this field.

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 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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineers, including those in mechanical engineering applications, can work remotely. Remote work is common in tech roles that involve programming, data analysis, and model development, often requiring skills in Python, TensorFlow, or similar tools. However, some positions may require on-site collaboration or access to specialized equipment, depending on the company's policies and project needs.

Which 5 jobs will survive AI?

Remote Mechanical Engineering roles that involve complex problem-solving, design, and hands-on work are likely to persist despite AI advancements. Jobs requiring creativity, critical thinking, and specialized expertise—such as research engineers, systems designers, and technical consultants—are less susceptible to automation. Continuous learning and proficiency with engineering tools and software can also enhance job security in this field.

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 engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills in areas like automation or aerospace, and advanced certifications can reach or exceed a $500,000 annual salary, especially in high-demand industries or leadership roles. Achieving this level often requires years of expertise, advanced degrees, and working in high-paying sectors or companies.
More about Remote Mechanical Engineering Machine Learning jobs
What cities are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities with the most Remote Mechanical Engineering Machine Learning job openings:
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs? The most popular types of Mechanical Engineering Machine Learning jobs are:
What states have the most Remote Mechanical Engineering Machine Learning jobs? States with the most job openings for Remote Mechanical Engineering Machine Learning jobs include:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs are:
Remote Mechanical Engineering Machine Learning jobs near you
Infographic showing various Remote Mechanical Engineering Machine Learning job openings in the United States as of June 2026, with employment types broken down into 54% Full Time, 23% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.

Machine Learning Engineer

10a Labs

Washington, DC • On-site, Remote

$130K - $200K/yr

Other

Medical, Dental, Vision, PTO

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

Job description

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely.
About the Role:
We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and intelligence applications.
This role spans the full ML lifecycle, from dataset development and experimentation to model training, evaluation, deployment, and monitoring. You will work both independently and collaboratively across projects involving multimodal classification systems, frontier model evaluations, model distillation research, and agentic workflows. The ideal candidate combines strong engineering fundamentals with a research mindset and enjoys tackling ambiguous, high-impact problems at the frontier of AI.
You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies.
Responsibilities may include:
  • Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains.
  • Develop and improve classification systems for safety, security, abuse detection, and intelligence applications.
  • Conduct experiments to benchmark, evaluate, and compare AI models, including large language models and multimodal systems.
  • Contribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployability.
  • Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety.
  • Build agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentation.
  • Own ML projects from initial research and prototyping through production deployment and monitoring.
  • Partner with software engineers to productionize ML systems and support ongoing improvements.
  • Provide technical expertise and guidance across client engagements and internal research initiatives.
We're looking for someone who:
  • Brings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration;
  • Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion;
  • Communicates technical concepts clearly to both technical and non-technical audiences;
  • Is resourceful, proactive, and comfortable operating in a fast-moving startup environment.
  • Is excited about developing novel approaches that advance the state of AI safety, evaluation, and security.
Requirements:
  • 3-5+ years of professional experience building and deploying machine learning systems.
  • Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlow
  • Experience working across multiple modalities, with expertise in one or more of:
    • Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas.
    • Natural Language Processing: LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic applications, or related areas.
  • Experience training, fine-tuning, evaluating, and deploying machine learning models in production environments.
  • Experience designing evaluation methodologies, benchmarking systems, and model performance metrics.
  • Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.)
  • Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services.
  • Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred.
Preferred:
Experience working with frontier language models, multimodal foundation models, or AI safety evaluations.Prior experience in cybersecurity, trust and safety, abuse prevention, threat intelligence, or related domains.Experience with retrieval-augmented generation (RAG), AI agent frameworks, and context orchestration systems such as LangChain, LlamaIndex, OpenAI Agents, or AutoGen.
Compensation:
  • 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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