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Remote Google Machine Learning Engineer Jobs in Saint Paul, MN

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 ...

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 ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

As a Lead AI/ML Engineer within our Musculoskeletal (MSK) team, you will drive end-to-end delivery ... Experience deploying machine learning models and algorithms in production environments * Experience ...

Showing results 21-40

Remote Google Machine Learning Engineer information

See Saint Paul, MN salary details

$31.9K

$130.2K

$195.7K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote google machine learning engineer in Saint Paul, MN is $130,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $156,800.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Google Machine Learning Engineer jobs in Saint Paul, MN?

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

What job categories do people searching Remote Google Machine Learning Engineer jobs in Saint Paul, MN look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Saint Paul, MN are:

Senior AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$106K - $146K/yr

Full-time

Retirement

Re-posted 2 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

191st of 891 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.

 

Join the Contact Center Voice modernization journey modernizing a mission critical voice channel that supports 300M calls annually. You'll help migrate legacy contact center capabilities off on prem platforms and into multi cloud (AWS Google) solutions-building scalable voice experiences, accelerating feature migrations, and strengthening reliability and governance for AI enabled customer interactions. If you enjoy solving complex, high impact engineering problems with modern cloud stacks (CI/CD, microservices, automation) and shaping "responsible AI" practices in production, this role is for you.

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:

  • Lead cloud migrations of traditional voice contact center capabilities from legacy platforms to Google Dialogflow and Amazon (Connect/Lex) solutions, partnering across engineering, platform, and business teams
  • Own solution design and delivery for cloud-based contact center components (voice bot/IVR workflows, orchestration/integrations, deployment patterns), ensuring production readiness end-to-end
  • Rapidly learn and apply new ecosystem patterns to accelerate bot IVR modernization-adapting to evolving requirements and scaling reusable approaches across workstreams
  • Drive cross-functional execution: collaborate with Platform/Steering/CCaaS teams, SRE/Operations, QA/Perf, and business stakeholders to align dependencies and deliver outcomes
  • Establish and evolve DevOps best practices for build/release automation, observability, and environment hygiene using modern CI/CD and source control practices (e.g., GitHub-based workflows)
  • Build and enhance automation tooling, including the Bot Certification Tool, to streamline governance, compliance workflows, and developer productivity across contact center engineering
  • Engineer for reliability, scalability, and security: design with least-privilege, resilient architectures, performance considerations, and solid operational monitoring for production voice experiences
  • Partner with SI vendors and internal teams to define deliverables, execute migration plans, and ensure value realization through measurable outcomes
  • Operationalize "Responsible AI" by supporting a Machine Learning Review Board approval process-embedding governance, traceability, and risk controls into AI/LLM-enabled solutions

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:

  • 3 years of experience building and operating cloud-native solutions with DevOps practices (CI/CD, automated testing, release management, and monitoring) in production environments
  • 3 years of experience delivering digital contact center/channel solutions at scale (Voice Bot, Chat Bot or related orchestration/integrations) with production support accountability
  • 3 years of experience implementing AI/ML capabilities, including practical exposure to LLM-enabled features (prompting/guardrails, evaluation, monitoring, or governance) in enterprise settings
  • 3 years of hands-on experience with AWS and/or GCP, including cloud architecture fundamentals.
  • 3 years of experience building modern applications and services using React and Python/JavaScript/NodeJS, including microservices or micro-app patterns
  • Demonstrated ability to quantify engineering and operational tradeoffs (cost, reliability, performance, and maintainability) and communicate those decisions to stakeholders
  • Proven track record of innovation/optimization in established bot or IVR landscapes-e.g., automation accelerators, reusable frameworks, or delivery improvements that reduce cycle time or risk
  • Proven solid cross-functional collaboration skills including experience working with platform teams, product/business partners, and SI vendors to deliver outcomes

 

Preferred Qualifications: 

  • Direct experience with Amazon Lex / Amazon Connect and/or Google Dialogflow implementations for enterprise voice workflows
  • Experience building internal developer platforms/tools (e.g., governance workflows, certification pipelines, UI-driven tooling)
  • Experience supporting large-scale voice modernization programs (migration roadmaps, dependency management, operational readiness)
  • Experience with networking, IAM/security controls, observability, and reliability patterns

*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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