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Postdoctoral Machine Learning Jobs in Boston, MA

The Postdoctoral Research Associate will receive professional development training, gain valuable ... Effectively design, implement, and evaluate machine learning and computational methods * Work with ...

We are seeking a postdoctoral researcher to work on quantitative ultrasound methods, focusing on the application of model-based machine learning techniques to raw ultrasound data. The project ...

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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 Jun 9, 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:
Postdoctoral Fellow in Organismic and Evolutionary Biology

Postdoctoral Fellow in Organismic and Evolutionary Biology

Harvard University

Cambridge, MA • On-site

$67K - $80K/yr

Full-time

Posted 8 days ago


Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 535 rated colleges and universities


Job description

Position
Details
Title
Postdoctoral Fellow in Organismic and Evolutionary Biology
School
Faculty of Arts and Sciences
Department/Area
Organismic and Evolutionary Biology
Position Description
We seek a postdoctoral research associate to work with Professor Michael Desai at Harvard University on projects involving inferring sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data analysis and research dissemination, working closely with the project PI (Dr. Desai).
The appointment is for one year with a possibility of renewal based on performance.
Basic Qualifications
Candidates must have a PhD in physics, biology, or a related field by the time of appointment. The ideal candidate will also have demonstrated experience in machine learning and biological data analysis and a strong track record of scientific publications and conference presentations in related disciples.
Additional Qualifications
Special Instructions
Candidates should upload the following materials:
1. A curriculum vitae
2. A 2-3 page cover letter outlining their research interests and experience
3. Names and contact information of three references.
Review of applications will begin on April 1st 2026, with an expected start date of May 1st 2026.
Contact Information
Professor Michael Desai
Contact Email
mdesai@oeb.harvard.edu
Salary Range
$67,600-$80,000
Minimum Number of References Required
3
Maximum Number of References Allowed
3
Keywords