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Remote Google Machine Learning Engineer Jobs in Minnesota

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Architect, build, and maintain scalable data pipelines on Google Cloud Platform (GCP), utilizing ... Support the deployment and monitoring of machine learning models by implementing reproducible and ...

UnitedHealth Group

AI/ML Engineer

Eden Prairie, MN · Remote

$98K - $176K/yr

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

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Remote Google Machine Learning Engineer information

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Minnesota?

The most popular types of Google Machine Learning Engineer jobs in Minnesota are:

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

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

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Remote Google Machine Learning Engineer jobs near you

Senior AI/ML Engineer - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 12 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 889 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.
In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our "shift left" strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members.
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:
  • Design, develop, and deploy scalable AI/ML models and automation solutions to solve complex business problems
  • Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, and deployment
  • Develop automation frameworks for model training, testing, validation, and monitoring (MLOps)
  • Collaborate with data science, engineering, product, and business teams to deliver AI-driven solutions
  • Optimize model performance through continuous evaluation, tuning, and retraining strategies
  • Ensure scalability, reliability, and governance of AI models including compliance and data integrity
  • Integrate AI/ML solutions into production systems using CI/CD and cloud platforms
  • Stay updated with emerging AI/ML technologies and automation best practices to drive innovation

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 or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field
  • 8+ years of software engineering, AI engineering, or machine learning engineering experience
  • 5+ years of strong Python development experience supporting AI and data-intensive applications
  • 4+ years of hands-on experience developing AI/ML solutions, including Generative AI, LLMs, NLP, and traditional machine learning models
  • 3+ years of experience designing, building, and deploying production-grade LLM applications, RAG pipelines, AI agents, and orchestration workflows
  • 3+ years of experience with AWS AI and cloud-native services including Bedrock, SageMaker, Lambda, OpenSearch, ECS/EKS, and S3
  • 2+ years of experience with vector databases, embeddings, semantic search, and enterprise knowledge retrieval systems
  • 2+ years of experience implementing MLOps, LLMOps, model monitoring, evaluation frameworks, and AI operationalization practices

Preferred Qualifications:
  • 2+ years of hands-on experience with Agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, or AgentCore
  • Experience implementing multi-agent architectures and autonomous workflow orchestration
  • Experience with AI evaluation frameworks, hallucination reduction techniques, model benchmarking, and prompt optimization
  • Familiarity with Knowledge Graphs, Ontologies, GraphRAG, and enterprise knowledge systems.
  • Experience building reusable AI platform services supporting multiple use cases
  • Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, semantic search, and knowledge retrieval systems

*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 $91,700 to $163,700 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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