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Machine Learning Software Engineer Intern Jobs in Canton, MA

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

Machine Learning Engineer

Somerville, MA · On-site

$170 - $200/hr

  • Medical

  • Dental

  • Vision

  • PTO

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting‑edge machine ...

Senior Machine Learning Test Engineer

Boston, MA · On-site +1

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Senior Machine Learning Test Engineer

Boston, MA · On-site

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Senior Machine Learning Test Engineer

Boston, MA · On-site

$120K - $155K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...

Machine Learning Engineer

Boston, MA · On-site

$136.32 - $225.09/hr

## Machine Learning EngineerApplyremote type: Hybridlocations: Bostontime type: Full timeposted on ... Apply standard software engineering practices, including version control, code reviews, and ...

Machine Learning Engineer, Data Mining

Boston, MA · On-site

$144K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Follow software engineering standards (version control, CI/CD, unit testing) for ML code.

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain ... Follow software engineering standards (version control, CI/CD, unit testing) for ML code.

Software Engineer

Lexington, MA · On-site

  • Retirement

  • PTO

Software Engineer Clearance Level: Must have an Active Secret Clearance to be considered - US ... AI / Machine Learning Algorithm Development * C/C++ Programming * Developing in C# * GUI ...

Machine Learning Engineer, Alexa AI

Boston, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform ... About the team Central Analytics and Research Science (CARS) is an analytics, software, and science ...

Staff Software Engineer

Waltham, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Xometry is seeking a Staff Software Engineer to join our core machine learning and data platform engineering organization. In this role, you will partner closely with the AI leadership team to ...

Machine Learning Systems Engineer

Boston, MA · On-site

$144 - $192/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Software Engineering : Strong proficiency in Python. * ML Frameworks : Extensive hands-on experience with PyTorch. * ML Knowledge : Experience optimizing machine learning model execution during ...

Showing results 41-60

Machine Learning Software Engineer Intern information

See Canton, MA salary details

$14

$26

$40

How much do machine learning software engineer intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning software engineer intern in Canton, MA is $26.88, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $30.48 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What cities near Canton, MA are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Canton, MA with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Engineer, Alexa AI

Amazon

Boston, MA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference.
As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements

Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software.
About the team
Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is to provide scalable and reliable evaluation of the state-of-the-art Conversational AI on how customers perceive the assistants they interact with - from the metrics themselves to software applications to deep dive on those metrics - allowing assistant developers to improve their services


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US