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Remote Google Machine Learning Engineer Jobs in Cambridge, MA

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Beacon Biosignals

Senior Algorithm Engineer

Boston, MA · On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Motion Recruitment

Senior ML Engineer

Boston, MA · Remote

$113K - $156K/yr

Join a global leader in legal, regulatory, and business information as a Senior Machine Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote contract-to-hire ...

Varsity Tutors

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lowell, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Boston, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Varsity Tutors

Machine Learning Tutor

Cambridge, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

C the Signs

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Varsity Tutors

Machine Learning Tutor

Somerville, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

$150K - $170K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Varsity Tutors

Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Cambridge, MA

Remote Google Machine Learning Engineer information

See Cambridge, MA salary details

$34.4K

$140.7K

$211.5K

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

As of Sep 6, 2026, the average yearly pay for remote google machine learning engineer in Cambridge, MA is $140,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $169,400.00 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 Cambridge, MA?

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

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

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

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

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

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

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

Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Cambridge, MA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,741 per year, or $67.7 per hour.

Senior Machine Learning Engineer - Artist-First AI Music Lab

Spotify

Boston, MA • Remote

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New

Job description

We are seeking a Senior Machine Learning Engineer to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

  • Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
  • Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rights-holders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
  • Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
  • Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
What You’ll Do
  • Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready features.
  • Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models.
  • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration.
  • Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design.
  • Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale.
  • Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality.
  • Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure.
  • Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans.
Who You Are
  • Experienced in applying machine learning in production environments.
  • You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production.
  • You have experience building and maintaining production ML systems using Python, Java, Scala, or similar languages.
  • You are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data.
  • You have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments.
  • You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences.
  • You have experience building user-facing products and strong judgment around conversational AI and generative user experiences.
  • You care deeply about experimentation, iteration, and using data to guide product and engineering decisions.
  • You thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn.
Where You’ll Be
  • We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location.
  • This team operates within the EST time zone for collaboration.
The United States base range for this position is $184,049 - $262,928.00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice