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Remote Embedded Machine Learning Jobs (NOW HIRING)

HealthEdge

Machine Learning Engineer

Experience working directly with non-technical stakeholders or in embedded/consulting-style ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

HealthEdge

Machine Learning Engineer

Experience working directly with non-technical stakeholders or in embedded/consulting-style ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/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 ...

Pluralsight LLC

Machine Learning Engineer

$121.60K - $160K/yr

A Machine Learning Engineer helps our learners discover content that is relevant to their interests ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ... Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference) * Familiarity with ...

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 ...

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How much do remote embedded machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

More about Remote Embedded Machine Learning jobs
What cities are hiring for Remote Embedded Machine Learning jobs? Cities with the most Remote Embedded Machine Learning job openings:
What are the most commonly searched types of Embedded Machine Learning jobs? The most popular types of Embedded Machine Learning jobs are:
What states have the most Remote Embedded Machine Learning jobs? States with the most job openings for Remote Embedded Machine Learning jobs include:
What job categories do people searching Remote Embedded Machine Learning jobs look for? The top searched job categories for Remote Embedded Machine Learning jobs are:
Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in the United States as of May 2026, with employment types broken down into 16% Full Time, and 84% Part Time. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

Remote

Full-time

Posted 25 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
  1. 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.
  1. Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance.
  1. 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.
  1. 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.
  1. 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.
  1. 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.
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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