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Postdoctoral Machine Learning Jobs in Boston, MA

This postdoctoral position will involve leading independent research, as well as conducting ... machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities ...

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Postdoctoral Machine Learning information

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$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:

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, Operations Research and Statistics

Cambridge, MA • On-site

Massachusetts Institute of Technology
Colleges, Universities, and Professional Schools • 10K+ employees

Full-time

Re-posted 28 days ago


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

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Job description

Description
The MIT Sloan School of Management (77 Massachusetts Ave., Cambridge, MA) is looking to award a one-year Postdoctoral Associate appointment, starting September 2023. These appointments are part of our ongoing efforts to increase the diversity of business/management school faculty.
Qualifications
The ideal candidate(s) must possess a recent Ph.D. or be near the completion of a Ph.D. prior to the start of employment, with a research topic relevant to Operations Research and Statistics. The Ph.D. could be in a wide range of disciplines, including but not limited to computer science, operations research or statistics or other closely related field. The postdoctoral associate will work primarily with Dr. Swati Gupta to conduct cutting-edge research at the interface of operations research, optimization, and machine learning, with a focus on quantum optimization. Background in discrete and non-linear optimization is preferred. The term is for one year. We strongly encourage applicants to apply by August 10th to be fully considered, but we will continue reviewing applicants on a rolling basis. We will give a preference to candidates who demonstrate an interest and a willingness to conduct research and collaborate with the broader MIT Sloan faculty, and interest in teaching graduate-level courses in a business/management school environment.
Application Instructions
Please upload the following documents with your application:
  • Personal Statement describing your research and career objectives;
  • CV;
  • Samples of Research;
  • 3 Letters of Reference;
  • Transcript

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