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Machine Learning Remote Internship Jobs in Massachusetts

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ...

Cybercoders

AI/ML Engineer - Computer Vision

Cambridge, MA · On-site +1

$121K - $143K/yr

AI/ML Engineer - Computer Vision AI/ML Engineer - Computer Vision Remote in US Full-Time About the ... Our team is leveraging machine learning and computer vision to solve challenging real-world ...

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 ...

EPITEC

Software Engineer III

Cambridge, MA · Remote

$97.50/hr

Job #104385 Title Software Engineer III Client Fortune 25 Company Location Remote, Within the ... This position is ideal for an engineer with strong experience in machine learning systems, dataset ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon Biosignals is seeking a Machine Learning engineer! At Beacon, we've found that cultural and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Beacon Biosignals

Algorithm Engineer

Boston, MA · On-site +1

Beacon Biosignals is seeking a Machine Learning engineer! At Beacon, we've found that cultural and ... Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we ...

Cleerly, LLC

Sr. ML Scientist

Boston, MA · On-site +1

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the ...

Redhat

Senior Manager, AI Inference

Boston, MA · On-site +1

$210K - $358K/yr

As a Senior Engineering Manager of the Machine Learning Engineering team focused on vLLM inference ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Motional

Director, Prediction and ML Planning

Boston, MA · On-site +1

$288K - $396K/yr

Oversee and unify the machine learning-based Prediction and Motion Planning teams. Establish a ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

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All JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Massachusetts

Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a Machine Learning Remote Intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Massachusetts? For Machine Learning Remote Internship jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Massachusetts look for? The top searched job categories for Machine Learning Remote Internship jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Remote Internship jobs? Cities in Massachusetts with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Massachusetts as of June 2026, with employment types broken down into 38% Full Time, 32% Part Time, and 30% Contract. Highlights an 100% Remote job distribution.
Machine Learning Engineer, ML Systems and Infrastructure

Machine Learning Engineer, ML Systems and Infrastructure

Autodesk

Boston, MA • On-site, Remote

Full-time

Posted 15 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 191 rated software companies

Job description

Job Requisition ID #

26WD98119

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings,machines, and even the latest movies, we influence and empower some of the most creative people in the world to solveproblems that matter.

Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems. In this role, you will partner with AI researchers, software engineers, and platform teams tobuild scalable pipelines, training infrastructure, data workflows, and production-ready ML systems that support the nextgeneration of AI-powered product experiences.

This is an engineering-first role focused on building and operating ML systems at scale. You will work on problems such asdistributed training workflows, data processing pipelines, model evaluation infrastructure, deployment systems, and platform tooling that improves reliability, efficiency, and developer velocity.

This role is fully remote-friendly, with team members distributed across the US and Canada.

RESPONSIBILITIES

  • Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring

  • Develop reliable software and infrastructure that supports scalable machine learning workflows

  • Contribute to distributed data processing and training systems used by researchers and engineering teams

  • Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets

  • Improve automation, testing, CI/CD, observability, and operational reliability for ML systems

  • Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers

  • Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency

  • Document technical decisions, workflows, and operational processes clearly

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas

  • Strong software engineering fundamentals, including coding, testing, debugging, and code quality

  • Proficiency in Python and experience building production-quality software

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, version control, CI/CD, and modern development workflows

  • Experience working with data-intensive systems, backend systems, or ML pipelines

  • Ability to work independently on well-defined problems with moderate ambiguity

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Familiarity with data lineage, provenance, governance, and responsible data usage in ML systems

  • Familiarity with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Familiarity with model deployment, inference services, monitoring, and observability for production ML systems

  • Familiarity with ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience working with CAD, BIM, AEC, or other complex domain-specific data formats

THE IDEAL CANDIDATE

  • Is a strong software engineer with interest in machine learning systems

  • Enjoys improving reliability, automation, and operational excellence

  • Communicates clearly and collaborates well across functions

  • Learns quickly and thrives in a fast-moving environment

  • Brings sound judgment, curiosity, and ownership to engineering work

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $0 and $0. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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