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Remote Embedded Machine Learning Jobs in Minnesota

... warehousing, machine learning using state of the art software development applications and ... Remote/Telework * Contract Type: W2 Who We Are We are a software company that strives to build ...

Senior Software Engineer

Minnetonka, MN · On-site +1

$91K - $163K/yr

... remote role as you take on some tough challenges. Primary Responsibilities: * Design, develop, and productionize machine learning and generative AI solutions supporting Digital experience use cases ...

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Remote Embedded Machine Learning information

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 Minnesota? The most popular types of Embedded Machine Learning jobs in Minnesota are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Minnesota? For Remote Embedded Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Minnesota look for? The top searched job categories for Remote Embedded Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Embedded Machine Learning jobs? Cities in Minnesota with the most Remote Embedded Machine Learning job openings:
Infographic showing various Remote Embedded Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 66% Full Time, 23% Part Time, 3% Temporary, 5% Contract, and 3% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Senior AI or ML Engineer - Remote

Senior AI or ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$120K - $214K/yr

Full-time

Retirement

Posted 11 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

188th of 875 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.


We are seeking a Senior AI/ML Engineer to join our dynamic Consumer Engineering team within the Chief Digital Office (CDO). In this role, you will be at the forefront of driving digital transformation, design, and deployment of scalable AI and machine learning models that directly elevate the consumer healthcare experience. You will collaborate with cross-functional teams to integrate advanced cognitive solutions, build secure and performant data pipelines, and automate infrastructure to ensure robust, enterprise-scale products. This is an exciting opportunity to leverage modern AI tools and frameworks to build products that make healthcare more accessible, personalized, and intuitive for millions of users.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Prioritize and execute tasks in the software development life cycle (SDLC) for AI/ML tools and applications
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Develop tools, pipelines, and applications by producing clean, efficient, and scalable code in Python, Core Java, or Scala
  • Automate infrastructure provisioning and development operations through appropriate scripting and tools (e.g., Terraform)
  • Review, debug, and optimize code to maintain the highest standards of software quality, security, and performance
  • Perform validation, performance, and verification testing on deep learning and machine learning models
  • Evaluate emerging trends and research in artificial intelligence and machine learning to inform solution design and strategic innovation
  • Document development phases, architectures, and monitor deployed AI systems to ensure enterprise-scale reliability


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree or 4 years of equivalent software engineering or data science experience in lieu of a degree
  • 5 years of software development experience with proficiency in Python, Core Java, or Scala
  • 3 years of experience designing, building, and deploying AI/ML models or pipelines into production environments
  • 3 years of experience with cloud platforms (Azure or AWS) and container orchestration using Kubernetes
  • 2 years of experience in data engineering (e.g., GraphQL, database design, and data pipeline construction)
  • Experience with infrastructure automation using tools such as Terraform
  • Experience utilizing version control systems (e.g., GitHub) for professional team collaboration


Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field
  • Experience working with large-scale datasets, data warehousing, and distributed query engines
  • Experience establishing continuous integration and continuous deployment (CI/CD) pipelines for ML models (MLOps)
  • Knowledge of modern Generative AI, Large Language Models (LLMs), and prompt engineering best practices
  • Proven solid analytical, communication, and collaboration skills to bridge technical concepts with business requirements


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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