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Remote Mechanical Engineering Machine Learning Jobs

You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$164.70K - $266K/yr

You will bridge the gap between core AI research and production-grade engineering, developing ... Employee divides their time between in-office and remote work. Access to an office location is ...

... engineering to training, evaluation, deployment, and monitoring. • Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning ...

$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 ...

Machine Learning Engineer

Seattle, WA · On-site +1

$164.70K - $266K/yr

You will bridge the gap between core AI research and production-grade engineering, developing ... Employee divides their time between in-office and remote work. Access to an office location is ...

Outcome Learning: Results-focused learning that strengthens individual and organizational capacity ... The ME shall execute engineering and design duties as required to ensure quality products. * The ME ...

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

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Showing results 1-20

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 May 31, 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.

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 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 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.

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:
Infographic showing various Remote Mechanical Engineering Machine Learning job openings in the United States as of May 2026, with employment types broken down into 20% Internship, 40% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,878 per year, or $49.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

On-site, Remote

Full-time

Posted 28 days ago


Job description

Overview

Machine Learning Engineer, AI Platform 

 As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations, including customer-facing operations. You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end. Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale. 

Key Responsibilities 

  • AI Platform Development: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment. Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding back to the AI Platform. 
  • Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance. 
  • Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done. 
  • Research and Learning: Stay current with advancements in LLMs, agentic frameworks, machine learning,  and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team. 
  • Performance and Reliability: Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrails appropriate for healthcare. 
  • Documentation: Maintain clear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility. 
  • Required Qualifications 

    • Education: Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered. 
    • Experience: 2-4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus. 
    • Technical Skills: Strong proficiency in Python. Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering alongside traditional ML frameworks (PyTorch, scikit-learn, etc.). Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating across the full development lifecycle. 
    • Healthcare Knowledge: Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other healthcare datasets is a plus but not required. 
    • Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights. 
    • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. 
    • Builder Mindset: Energized by turning ideas into working solutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly. 
    • Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team. 

    HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. 

    Geographic Responsibility: While HealthEdge is located in Boston, MA you may live anywhere in the US 

    *Note this role requires proof of US residency for the last consecutive 5 years*

    Type of Employment: Full-time, permanent 

    Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:  

    • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. 
    • Work across multiple time zones in a hybrid or remote work environment. 
    • Long periods of time sitting and/or standing in front of a computer using video technology. 
    • May require travel dependent on company needs. 

    The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.  

    HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. 

    #LI-Remote 

    **The annual US base salary range for this position is $130,000 to $165,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education. 

    Employment Type: FULL_TIME

    HealthEdge logo

    About HealthEdge

    Sourced by ZipRecruiter

    Health Edge ® provides modern, disruptive technology that delivers for the first time, a suite of products that enables healthcare payors to leverage new business models, improve outcomes, drastically reduce administrative costs and connect everyone in the healthcare delivery cycle. Our next-generation enterprise product suite, HealthRules ®, is built on modern, patented technology and is delivered to customers via the HealthEdge Cloud or on-site deployment. An award-winning company, HealthEdge empowers payors to capitalize on the innovations, challenges and opportunities that await in the new healthcare economy. For more information, visit .

    Industry

    Computer and computer peripheral equipment and software wholesalers

    Company size

    201 - 500 Employees

    Headquarters location

    Burlington, MA, US

    Year founded

    2005

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