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Research Assistant Machine Learning Jobs in Worcester, MA

Worcester Polytech

Senior Research Analyst

Worcester, MA · On-site

$71K - $90K/yr

Apply advanced statistical methods, predictive modeling, machine learning, and exploratory analysis to examine student success, enrollment, course pathways, and other institutional questions. Develop ...

Worcester Polytech

Senior Research Analyst

Worcester, MA · On-site

$72 - $90/hr

Apply advanced statistical methods, predictive modeling, machine learning, and exploratory analysis to examine student success, enrollment, course pathways, and other institutional questions. Develop ...

Delsys

R&D Software Engineer (Intern)

Natick, MA · On-site

$28 - $34/hr

Primary Responsibilities: • Design and implement machine learning and computer vision pipelines that directly contribute to our core research • Translate proven research algorithms and solutions ...

Worcester Polytech

Post-Doctoral Fellow

Worcester, MA · On-site

$65K - $75K/yr

... a postdoctoral researcher who will apply machine learning to predict clinical pain related outcomes, participate in an ongoing clinical trial, and assist with app development. The project is ...

Worcester Polytech

Research Scientist

Worcester, MA · On-site

$50K - $60K/yr

The successful candidate will contribute to research that combines CFD modeling, primarily using ANSYS Fluent and OpenFOAM, with laboratory-based measurements and Machine Learning (AI). We are ...

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How much do research assistant machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for research assistant machine learning in Worcester, MA is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $25.43 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What job categories do people searching Research Assistant Machine Learning jobs in Worcester, MA look for?

The top searched job categories for Research Assistant Machine Learning jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Research Assistant Machine Learning jobs?

Cities near Worcester, MA with the most Research Assistant Machine Learning job openings:

Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,472 per year, or $21.9 per hour.

Temporary Researcher

Worcester Polytechnic Institute

Worcester, MA • On-site

$25/hr

Part-time

Re-posted 19 days ago

Job description

JOB TITLE
Temporary Researcher
LOCATION
Worcester
DEPARTMENT NAME
Computer Science - JM
DIVISION NAME
Worcester Polytechnic Institute - WPI
JOB DESCRIPTION SUMMARY
Temporary researcher needed to assist in Dr. Agu's lab in the Computer Science Department at WPI.
JOB DESCRIPTION
Responsibilities:
  • Provide a strong mobile and wound server programming background required to produce a robust wound infection screener and care recommender app with a server that can robustly serve deep learning requests from mobile devices.

  • Assist with analysis of the development of the wound analysis algorithms using deep learning using photographs and thermal images, and on machine learning models that combine visual images and thermal images to detect infection more accurately.
  • Analyze the collected data to assist in researching and developing the infection wound care recommendation algorithms and machine learning methods.

Hourly pay rate is $25 per hour. This is a temporary 20 hour per week position.
FLSA STATUS
United States of America (Non-Exempt)
WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.

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