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Postdoctoral Machine Learning Jobs in Boston, MA

MIT Human Resources

Postdoctoral Associate

Cambridge, MA · On-site +1

POSTDOCTORAL ASSOCIATE, Mechanical Engineering, will work under the direction of Prof. Sherrie Wang ... Will develop and implement machine learning models for local weather forecasting and uncertainty ...

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Postdoctoral Machine Learning information

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do postdoctoral machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for postdoctoral machine learning in Boston, MA is $64,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What are popular job titles related to Postdoctoral Machine Learning jobs in Boston, MA?

For Postdoctoral Machine Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Machine Learning jobs in Boston, MA look for?

The top searched job categories for Postdoctoral Machine Learning jobs in Boston, MA are:

Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $64,121 per year, or $30.8 per hour.

Postdoctoral Associate, Keating Lab

Cambridge, MA • On-site

Massachusetts Institute of Technology
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Massachusetts Institute of Technologyexternal

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Posted 12 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

Job description

POSTDOCTORAL ASSOCIATE, KEATING LAB, Biology, to join a small, collaborative peptide design team working at the interface of computation and experiment. Working closely with the Principal Investigator and a computational Research Scientist, the Postdoctoral Associate will serve as the experimental lead on a peptide design campaign that will involve driving the synthesis and testing of designed peptides, evaluating early hits with assays developed and run independently, and reporting findings to colleagues and collaborators through presentations, publications, and patents. Results and ideas generated in this role will feed directly into peptide optimization and help refine the design methodology. The Keating Lab is a collaborative and stimulating research environment with strong connections between wet and dry lab, bringing together computational biologists building new methods at the interface of structural biology and machine learning and experimentalists studying how proteins recognize their binding partners across a wide range of biological systems.

The full job description is available,here: https://acrobat.adobe.com/id/urn:aaid:sc:US:7d84d117-3ccf-4b4c-8003-d26734ef13b3

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