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Remote Mechanical Engineering Machine Learning Jobs

ISEE

Research Scientist - Machine Learning

... Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field - Passionate about self-driving vehicles and real-world robotics solutions. - Experience collecting ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine Learning Engineer to design, build, and deploy scalable data ...

Electronic Arts

Machine Learning Engineer III

Austin, TX · On-site +1

$122K - $158K/yr

You will follow a hybrid work model with a mix of remote work and in-office collaboration. This ... Qualifications -Five or more years of professional experience in data engineering, machine learning ...

New

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Boutique Recruiting

Mechanical Engineer

Gurnee, IL · On-site +1

$110K - $120K/yr

Mechanical Engineer This position is a fully remote Mechanical Engineer responsible for designing and upgrading laser printing setups for customers in the food, beverage, pharmaceutical, and ...

Paylocity

Machine Learning Engineer

... fully remote environment with a desire to share ideas and continuously improve • Invested in staying current in machine learning engineering by applying the newest tools, technologies, and ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

This is a hands-on engineering role for someone who has experience building ML models and systems ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

Clevanoo LLC

Be Seen First

Machine Learning Engineer

Dallas, TX · Remote

Remote (TX) DURATION: Contract POSITION SUMMARY: Client transforms chronic care management by ... Their expertise in machine learning frameworks and software engineering ensures that the predictive ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

... fully remote environment with a desire to share ideas and continuously improve • Invested in staying current in machine learning engineering by applying the newest tools, technologies, and ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

Build solutions to novel problems in software development, data engineering, and machine learning ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

The ideal candidate combines strong engineering fundamentals with a research mindset and enjoys ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

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All JobsRemote Mechanical Engineering Machine Learning Jobs

Remote Mechanical Engineering Machine Learning information

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$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.
Senior Director:Data Engineering & Machine Learning

Senior Director:Data Engineering & Machine Learning

Modus Create

Concord, NC • Remote

Other

Posted 2 days ago

Job description

Join Our Team as Senior Director of Data Engineering & Machine Learning at Modus Create!About us:

Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian.

We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences.

As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you.

Opportunity!

We are seeking a Senior Director of Data Engineering & Machine Learning to lead and scale our global Data & ML practice. In this strategic leadership role, you will guide distributed teams in architecting modern data platforms and delivering intelligent AI/ML-powered products that drive measurable outcomes across industries.

Reporting to the VP of Product Engineering Services, you will bridge deep technical expertise with business vision-shaping data and ML strategy, mentoring leaders, supporting pre-sales engagements, and positioning Modus as a trusted advisor in data, AI, and machine learning transformation.

Requirements:
  • 15+ years of experience in data or software engineering roles, with 7+ years leading Data Engineering or ML teams
  • Hands-on experience designing and scaling cloud-native data platforms on AWS, Azure, or GCP
  • Deep expertise with modern data ecosystems including Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
  • Experience defining and driving machine learning strategy using platforms such as SageMaker, Azure ML, or TensorFlow
  • Strong understanding of DataOps, MLOps, CI/CD for data pipelines and ML models
  • Proven experience in pre-sales, solution design, proposal development, and growing data/ML engagements
  • Demonstrated ability to hire, mentor, and grow high-performing distributed teams
  • Strong stakeholder management skills across technical, executive, and cross-functional audiences
  • Ability to translate complex technical capabilities into measurable business impact
  • Experience operating in a fast-paced, global, remote-first consulting environment
Bonus points:
  • Experience integrating partnerships and capabilities across acquisitions
  • Background in regulated or complex industries such as healthcare, finance, or life sciences
  • Track record of building modular engineering frameworks, tooling standards, and scalable best practices
  • Experience positioning AI, security, and DevSecOps modernization within enterprise clients
  • Demonstrated success creating inclusive, experimentation-driven engineering cultures
You'll Love:
  • Leading a global Data & ML organization that drives transformative client outcomes
  • Building intelligent, AI-powered products across diverse industries
  • Mentoring and empowering the next generation of data and ML leaders
  • Collaborating cross-functionally with Growth, Partnerships, Operations, and Engineering
  • Operating in a 100% remote culture grounded in autonomy, mastery, inclusion, and continuous learning

By joining our team, you'll be part of a winning squad that plays to each other's strengths and celebrates every success together. Apply now and show us you've got what it takes to take your consulting skills to the next level with Modus Create!

Apply