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Machine Learning Co Op Jobs in Boston, MA (NOW HIRING)

This co-op will contribute to autonomous SEM workflows that make characterization more consistent ... Experience with closed-loop learning, active learning, Bayesian optimization, or reward-driven ...

Prepare daily micro-sections samples for production Operate manual machines including engine lathes and milling machines Operate CNC machinery with assistance of a Machinist to ensure parts meet ...

Co-Op, Machinist

Andover, MA · On-site

$18.50/hr

Operate manual machines including engine lathes and milling machines * Operate CNC machinery with assistance of a Machinist to ensure parts meet specifications. * Inspect parts visually and ...

Operate manual machines including engine lathes and milling machines * Operate CNC machinery with assistance of a Machinist to ensure parts meet specifications. * Inspect parts visually and ...

Co-Op, Machinist

Andover, MA · On-site

$18.50/hr

Major Responsibilities of the Position: • Prepare daily micro-sections samples for production • Operate manual machines including engine lathes and milling machines • Operate CNC machinery with ...

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused ... Solid foundation in machine learning fundamentals and Python * Familiarity with NLP or computer ...

Showing results 41-60

Machine Learning Co Op information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do machine learning co op jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning co op 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 Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Boston, MA? The most popular types of Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Machine Learning Co Op jobs? Cities near Boston, MA with the most Machine Learning Co Op job openings:
Infographic showing various Machine Learning Co Op job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $46,263 per year, or $22.2 per hour.

Robotics - Applied Scientist II Intern / Co-op - 2026 (Robotics, Manipulation, Perception, Motion...

Amazon

North Reading, MA

Full-time

Re-posted 7 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you passionate about robotics and research. Do you want to solve real customer problems through innovative technology. Do you enjoy working on scalable research and projects in a collaborative team environment.

Do you want to see your science solutions directly impact millions of customers worldwide?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
We're looking for current PhD students with a passion for robotic research and applications to join us as Robotics Applied Scientist II Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas in robotics such as: robotics, robotics manipulation (e.g., robot arm, grasping, dexterous manipulation, end of arm tools/end effector), autonomous mobile robots, mobile manipulation, movement, autonomous navigation, locomotion, motion/path planning, controls, perception, sensing, robot learning, artificial intelligence, machine learning, computer vision, large language models, human-robot interaction, robotics simulation, optimization, and more!
We're looking for curious minds who think big and want to define tomorrow's technology

At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
By applying to this role, you will be considered for Robotics Applied Scientist II Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).
Amazon intern and co-op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co-ops

Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day.

Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.
About the team
About the team
Learn more about Robotics at Amazon:
https://amazon.jobs/en/teams/amazon-robotics
https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center
https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model


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