ZipRecruiter

Log In

2

Remote Machine Learning Compiler Engineer Jobs in Minnesota

Expleo

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, natural language processing, data architecture, and decision modeling * Remote ... Experience with SQL, Python, R, or similar programming languages * Familiarity with notebooks and ...

Expleo

Data Management Strategic Planner

Saint Paul, MN · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning, natural language processing, data architecture, and decision modeling * Remote ... Experience with SQL, Python, R, or similar programming languages * Familiarity with notebooks and ...

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

  • Retirement

Strong background in Data Science, Machine Learning Engineering, Applied Science, or Full-Stack Engineering with AI specialization * Practical experience with statistical modeling, data analysis ...

Target

Sr Engineer - Interactive Compute

Minneapolis, MN · On-site +1

$98K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Engineer on the Machine Learning Platform team, you will develop new capabilities to support Data Scientists and other users at Target. You will gain insights into application ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

UnitedHealth Group

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

  • Retirement

... machine learning (gold). Apply best practices in each layer, such as schema enforcement and ... Collaborate with the other data engineer to share responsibility across different pipelines or ...

previous page

Showing results 41-60

All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Minnesota

Remote Machine Learning Compiler Engineer information

What is a remote machine learning compiler engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

How does a remote machine learning compiler engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What are the key skills and qualifications needed to thrive as a remote machine learning compiler engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.

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

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Minnesota?

For Remote Machine Learning Compiler Engineer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Minnesota look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities in Minnesota with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Minnesota as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 41% Physical, 4% Hybrid, and 55% Remote job distribution.

Lead AI/ML Software Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted yesterday

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 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.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Optum AI team members:
  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

Primary Responsibilities:
  • Own the inference and delivery of machine learning insights to multiple customers
  • Manage, monitor, and scale machine learning systems, delivering insights to multiple customers
  • Partner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products
  • Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently
  • Drive pipeline efficiency and reliability through profiling, refactoring and advanced engineering
  • Develop new data pipelines to improve ML model usage

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 of Science in computer science or related quantitative field
  • 7+ years of professional software engineering experience, with at least 5+ years building and operating production ML systems
  • Expert-level Python experience, including writing production-grade, testable, and maintainable code
  • Hands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environment
  • Solid experience deploying, managing, and scaling services in Kubernetes, including:
    • Containerization (Docker)
    • Helm or equivalent deployment tooling
    • Resource tuning, autoscaling, and failure recovery
  • Proven experience with MLOps practices, including:
    • Model deployment and versioning
    • Monitoring model performance, drift, and system health

Preferred Qualifications:
  • Experience with AzureML, DataBricks, and Azure Kubernetes
  • Experience with distributed computing approaches
  • Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining
  • Proven solid technical communication skills
  • Proven ability and drive to learn independently
  • Proven problem-solving and analytical thinking
  • Proven ability to explain technical decisions to stakeholders

*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 $112,700 to $193,200 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.
#optumaiscience
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.
#OptumTechPJ

What UnitedHealth Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply