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Machine Learning Remote Internship Jobs in Eagan, MN

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Machine Learning Remote Internship information

See Eagan, MN salary details

$26K

$43.4K

$89.7K

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

As of Sep 2, 2026, the average yearly pay for machine learning remote internship in Eagan, MN is $43,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Eagan, MN?

For Machine Learning Remote Internship jobs in Eagan, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Remote Internship jobs in Eagan, MN look for?

The top searched job categories for Machine Learning Remote Internship jobs in Eagan, MN are:

What cities near Eagan, MN are hiring for Machine Learning Remote Internship jobs?

Cities near Eagan, MN with the most Machine Learning Remote Internship job openings:

Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Eagan, MN as of June 2026, with employment types broken down into 2% As Needed, 42% Full Time, 54% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $43,424 per year, or $20.9 per hour.

Senior AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$120K - $214K/yr

Full-time

Retirement

Re-posted 14 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 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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