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

Northeastern University

Co-op Counselor

Boston, MA · On-site

$61K - $75K/yr

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Manage co-op program communications to COE students and employers, including announcements for ...

Northeastern University

Co-op Counselor

Boston, MA · On-site

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Update co-op coordinators with student status updates and comments, specifically after mock ...

NorthEastern

Co-op Counselor

Boston, MA

$61K - $75K/yr

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Manage co-op program communications to COE students and employers, including announcements for ...

NorthEastern

Co-op Counselor

Boston, MA

In this role, the Co-op Counselor guides students through the co-op process, including job search ... Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ...

Northeastern University

Co-op Counselor

Boston, MA · On-site

In this role, the Co-op Counselor guides students through the co-op process, including job search ... Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ...

NorthEastern

Co-op Counselor

Boston, MA · On-site

Familiarity with cooperative education and/or experiential learning. * Experience with Salesforce ... Update co-op coordinators with student status updates and comments, specifically after mock ...

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All JobsMachine Learning Co Op JobsMachine Learning Co Op Jobs in Boston, MA

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 Jul 25, 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 types of projects do Machine Learning Co-Op students typically work on, and how do they contribute to the team?

Machine Learning Co-Op students often work on a variety of hands-on projects, such as developing data preprocessing pipelines, training and evaluating machine learning models, or supporting ongoing research initiatives. They commonly collaborate with data scientists, engineers, and other interns, contributing fresh perspectives and technical support. Co-Ops may also participate in code reviews, attend team meetings, and present their findings, making them valuable contributors to both experimental and production-level work. This collaborative environment offers plenty of opportunities to learn from experienced professionals while making a real impact on projects.

What is a Machine Learning Co-Op?

A Machine Learning Co-Op is a temporary, paid position that allows students or recent graduates to gain hands-on experience working with machine learning technologies in a professional setting. Co-ops typically last several months and are designed to provide practical exposure to real-world projects, such as building models, analyzing data, and collaborating with data scientists or engineers. This role helps participants develop technical skills, gain industry insights, and build a professional network, which can be valuable for future career opportunities in the field of artificial intelligence or data science.

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

To thrive as a Machine Learning Co Op, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and coursework or experience in data science or machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Excellent problem-solving abilities, eagerness to learn, and effective communication help set you apart in collaborative and fast-paced environments. These skills and qualities are crucial for successfully contributing to real-world projects and advancing your expertise in the field.
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:
Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,263 per year, or $22.2 per hour.
Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026

MIT Lincoln Laboratory

Lexington, MA

$21.50 - $25/hr

Other

Posted 8 days ago

Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Position Description

Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team

consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated

and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing.

Requirements/Skills

  • The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.
  • Experience with Python, MATLAB and machine learning (coursework or practical)

Preferred (not required)

  • Biomedical signal processing and/or time series analysis experience
  • Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras
  • Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning

Compensation for 2026

  • Technical Co-Op: $24.50 - $31.00 per hour (based on year in school)
  • Administrative Co-Op: $21.50 - $25.00 per hour (based on year in school)

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

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