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Remote Google Machine Learning Engineer Jobs in Springfield, MA

With over 20 years of experience in data collection and AI and machine learning, Riverbed's open ... Solutions Engineer Location: US - Texas or NorthEast Technology Specialization: Unified ...

With over 20 years of experience in data collection and AI and machine learning, Riverbed's open ... Solutions Engineer Location: US - Texas or NorthEast Technology Specialization: Unified ...

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Python Tutor

Northampton, MA · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Showing results 41-60

Remote Google Machine Learning Engineer information

See Springfield, MA salary details

$31.4K

$128.3K

$192.8K

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

As of Sep 9, 2026, the average yearly pay for remote google machine learning engineer in Springfield, MA is $128,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,500.00 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 the most commonly searched types of Google Machine Learning Engineer jobs in Springfield, MA?

The most popular types of Google Machine Learning Engineer jobs in Springfield, MA are:

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Springfield, MA?

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

What job categories do people searching Remote Google Machine Learning Engineer jobs in Springfield, MA look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Springfield, MA with the most Remote Google Machine Learning Engineer job openings:

Associate Quality Analyst- Remote Nationwide or Hybrid in MN

Hartford, CT • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

$60K - $107K/yr

Full-time

Retirement

This job post has expired 2 days ago. Applications are no longer accepted.


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

194th of 898 rated healthcare providers


Job description

Our Company

UnitedHealthcare Employer & Individual provides employer-sponsored health benefits, as well as individual and family plans, through a portfolio of products that helps make coverage more affordable, simplifies the health care experience, and improves access to high-quality care. Join us to start Caring. Connecting. Growing together.

Position Summary:

As a Quality Engineer on the UnitedHealthcare Employer & Individual Technology team, you will design, build, and deploy innovative quality engineering solutions and automated testing capabilities that power high-performance health benefit applications. In this role, you will leverage advanced technologies, enterprise-approved automation tools, and artificial intelligence to design intelligent testing frameworks, automate quality workflows, and streamline application validation. Your work will directly impact how employer health benefits and coverage solutions are delivered to millions of members, ensuring optimal functionality, reliability, and seamless user experiences.

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges, or If you reside in Minnesota, you'll enjoy the flexibility of a hybrid-remote position* as you take on some tough challenges.

Primary Responsibilities:

  • Design, develop, and deploy AI-powered quality engineering solutions and test automation frameworks to address complex business challenges with an emphasis on responsible use of AI
  • Use enterprise-approved AI tools and automation platforms to streamline quality testing workflows, automate script creation, and drive continuous testing process improvements
  • Evaluate emerging trends and AI capabilities in software testing to inform solution design and strategic innovation within the engineering pipeline
  • Build, maintain, and execute automated test suites (functional, integration, regression, and performance) across web and enterprise software applications
  • Collaborate with cross-functional software engineering, product, and architecture teams to analyze requirements, identify defect patterns, and improve application reliability
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 
  • Perform root-cause analysis on software defects, document test outcomes, and recommend technical enhancements to optimize overall system 

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:

  • 2 years of experience in Quality Engineering or Software Quality Assurance
  • 2 years of experience writing automated test scripts and building test automation frameworks (e.g., Selenium, Cypress, TestNG, or similar)
  • 1 years of experience building, deploying, or utilizing AI-driven tools, automated script generators, or AI-powered testing solutions
  • 1 years of experience with relational databases and writing SQL queries for test data validation
  • 1 years of experience working within an Agile/Scrum software development environment

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical field
  • Experience in healthcare technology, employer-sponsored health benefits, or claims processing systems
  • Familiarity with CI/CD integration tools (e.g., Jenkins, GitHub Actions, Azure DevOps)
  • Experience with API testing tools and frameworks (e.g., Postman, REST Assured)
  • Experience evaluating emerging AI trends and integrating LLMs or machine learning models into quality assurance pipelines

*All Telecommuters 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 $60,200 to $107,400 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

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.

#RPO #GREEN 


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