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Postdoctoral Machine Learning Jobs in Boston, MA

NorthEastern

Postdoctoral Research Fellow

Boston, MA

$60K - $85K/yr

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

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do postdoctoral machine learning jobs pay per year?

As of Jul 7, 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 are the key skills and qualifications needed to thrive in the Postdoctoral Machine Learning position, and why are they important?

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 is a Postdoctoral Machine Learning job?

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 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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $64,121 per year, or $30.8 per hour.
Postdoctoral Associate - Schmidt Center

Postdoctoral Associate - Schmidt Center

Broad Institute

Cambridge, MA • On-site

Full-time

Posted 13 days ago

Job description

General information
Location
Cambridge, MA
Ref #
43122
Job Family
Research
Date published
02/10/2026
Time Type
Full time
Pay Range
70000.00 - 87000.00 - 92666.67 Usd Annual
Description & Requirements
The Schmidt Center's mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and organisms. The Schmidt Center is located within the Broad Institute of MIT and Harvard - a world-leading non-profit research organization dedicated to better understanding the roots of disease and narrowing the gap between new biological insights and impact for patients in an interdisciplinary manner.
For full consideration, candidates must submit the following documents through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/30714:
  • CV and a cover letter, which may include potential avenues of collaboration and supervision by Broad-, MIT- or Harvard-affiliated faculty
  • A research statement of up to three pages, including references (this can be focused on research thus far, and need not be biomedical in nature)
  • Names and email addresses of three or more individuals who will provide letters of recommendation

Questions: please contact ewsc-postdocs@broadinstitute.org
The Position: We welcome outstanding applicants with research interests in any area of machine learning, statistics, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a strong bent towards developing the mathematical foundations of which algorithms are most suitable to biological applications and why. While experience in machine learning or related fields is critical for the role, prior exposure to biology or medicine is advantageous but not required. Postdoctoral associates independently choose their (computational and biomedical) mentors from Broad-, MIT-, or Harvard-affiliated faculty.
Completed application review will begin on a rolling basis after December 22, 2025.
This will be a one-year appointment beginning on or after July 1, 2026, or an earlier/later mutually agreed upon date, with the possibility of renewal for a second and third year based upon satisfactory performance.
Qualifications and Requirements:
  • Ph.D. (expected or obtained) in Computer Science, Engineering, (Bio)Statistics, or a related field and 0-1+ years of experience within the field
  • Strong analytical and written communication skills, including the ability to effectively describe scientific material to both specialized and lay audiences.
  • Ability to work effectively in an interdisciplinary environment and commitment to participating in Schmidt Center activities

Apply