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Remote Internship Machine Learning Engineer Jobs in Boston, 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

$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

$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

$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

$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

$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

Cambridge, MA · Remote

$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

Somerville, MA · Remote

$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

Quincy, MA · Remote

$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 ...

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 ...

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 ...

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... and machine learning models for marketing measurement. This role is designed for someone with ...

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All JobsMachine Learning Engineer JobsRemote Internship Machine Learning Engineer JobsRemote Internship Machine Learning Engineer Jobs in Boston, MA

Remote Internship Machine Learning Engineer information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Sep 11, 2026, the average yearly pay for remote internship machine learning engineer in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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

AspectRemote Internship Machine Learning EngineerRemote Data Scientist Intern
Required CredentialsBasic programming, machine learning fundamentals, coursework or certificationsStatistics, data analysis, programming skills, coursework or certifications
Work EnvironmentCollaborative team, remote, project-basedRemote, data analysis projects, team collaboration
Industry UsageTech, AI, software developmentTech, finance, healthcare, research

Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.

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

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

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

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

What cities near Boston, MA are hiring for Remote Internship Machine Learning Engineer jobs?

Cities near Boston, MA with the most Remote Internship Machine Learning Engineer job openings:

Remote Internship Machine Learning Engineer jobs near you
Infographic showing various Remote Internship Machine Learning Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Senior Machine Learning Engineer - Artist-First AI Music Lab

Boston, MA • Remote

Spotify
See more jobs at Spotifyexternal

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

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