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Remote Embedded Machine Learning Jobs in Minneapolis, MN

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Remote Embedded Machine Learning information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

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

As of Jul 13, 2026, the average yearly pay for remote embedded machine learning in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 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 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.

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 are the most commonly searched types of Embedded Machine Learning jobs in Minneapolis, MN? The most popular types of Embedded Machine Learning jobs in Minneapolis, MN are:
Research Investigator, Statistician

Research Investigator, Statistician

HealthPartners

Bloomington, MN • On-site, Remote

Other

Medical, Retirement

Posted 7 days ago

New


HealthPartners rating

7.7

Company rating: 7.7 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

158th of 882 rated healthcare providers


Job description

HealthPartners is hiring a Research Investigator, Statistician who will provide scientific leadership and analytical expertise in a team environment, with an overall aim of advancing evidence to improve health outcomes, well-being, and population health. This role, within HealthPartners Institute (the Institute), collaborates closely with other investigators within the Institute, across the HealthPartners health system, and with external researchers, to design, conduct, analyze, and disseminate public domain healthcare research.

Applying strong expertise in statistical or epidemiologic methods, this role works with complex healthcare data across a broad range of observational, interventional, and pragmatic research studies. In addition to contributing to grant proposals, data analysis for ongoing studies, and dissemination of research findings through presentation and publication, the Research Investigator, Statistician will have the opportunity to develop an independent line of research aligned with organizational mission and their area(s) of expertise. The Institute includes a multidisciplinary team of researchers with expertise in adult and pediatric chronic disease, pharmacovigilance, pregnancy and child health, mental health, orthopedics, neuroscience, epidemiology, statistics, and oral health research, among others. Statisticians based in the Institute also serve as a resource for clinicians in the health system who conduct research.

The Research Investigator, Statistician will help advance the Institute as a leading environment for high-impact research, supporting collaboration and innovation both within the health system and across the broader scientific community. Reporting to the Director of the Research Methodology Group, this role joins a team of seven statisticians with broad methodologic expertise in pragmatic-randomized trials, traditional clinical trials, causal inference, machine learning, predictive analytics, and other topics.

Required Qualifications:

  • PhD or equivalent in statistics, biostatistics, health services research, epidemiology, or related disciplines.
  • Expertise in research design and advanced statistical methods. Ability to design, conduct, and interpret statistical analyses. 
  • Experience with several statistical software platforms including R, SAS, and Python.
  • Experience leading and contributing to independent peer-reviewed scholarly publications.
  • Ability to communicate approaches to study design, analyses, and results with non-technical colleagues.
  • Ability to write for scientific and technical audiences.
  • Ability to collaborate effectively to deliver high-quality results in a timely and efficient manner. 

Preferred Qualifications:

  • Demonstrated ability to obtain external funding through collaboration on multidisciplinary teams.
  • Experience working with electronic medical records, claims, or other health- or health care-related data.
  • Demonstrated ability to direct and work collaboratively on multidisciplinary teams or as part of research networks.
  • Interest in developing the skills and experience needed to lead an active portfolio of externally funded research.
  • Ability to develop and appropriately apply novel analytic and data processing methods, such as artificial intelligence and machine learning, causal inference, cluster randomized trial designs, and/or federated data models.

Hours/Location:

  • M-F; core business hours
  • This role is primarily remote, with occasional onsite expectations (typically 1-2 times per month) for team meetings and collaboration at the Bloomington, MN HealthPartners Institute office. Preference will be given to candidates who are local to, or open to relocating to, the Minneapolis-St. Paul metropolitan area.

Responsibilities:

  • In collaboration with multidisciplinary research teams, develop research studies and perform data analyses that advance knowledge related to medical care, health, and well-being of individuals and communities.
  • Develop statistical analysis plans and contribute to study protocols and other technical documents.
  • Partner with fellow statisticians and investigators to strengthen and advance methodological approaches, support competitive grant submissions, and coordinate project deliverables in a timely fashion.
  • Provide consultation for clinician investigators across the organization.
  • Establish expertise in one or more areas of subject matter or methodologic areas and then contribute their expertise across a range of projects, from smaller internal studies to large externally funded research.
  • Gradually obtain internal and external funding to build a research program as a principal investigator or co-investigator, with support from other investigators and mentors.
  • Collaborate with HealthPartners Care Group, Dental Group, or health plan to support organizational priorities through research. 
  • Contribute to dissemination of research results through publication of papers in scientific and professional journals, books, electronic media, and presentation at professional meetings and other venues.
  • Participate in continuous learning by keeping current with relevant research and methodologic advances and attending and presenting at conferences.
  • Provide service to the professional and scientific community by participating in scientific peer review for journal articles and research grants.

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


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