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Machine Learning Postdoc Jobs in Massachusetts (NOW HIRING)

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 ...

The position also involves the integration of machine learning and AI-assisted approaches into materials modeling workflows. The postdoctoral researcher is expected to work independently, develop ...

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$23.6K

$122.3K

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How much do machine learning postdoc jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning postdoc in Massachusetts is $122,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,221.00 and $168,425.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the most commonly searched types of Machine Learning Postdoc jobs in Massachusetts? The most popular types of Machine Learning Postdoc jobs in Massachusetts are:
What are popular job titles related to Machine Learning Postdoc jobs in Massachusetts? For Machine Learning Postdoc jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Massachusetts look for? The top searched job categories for Machine Learning Postdoc jobs in Massachusetts are:
Infographic showing various Machine Learning Postdoc job openings in Massachusetts as of June 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $122,293 per year, or $58.8 per hour.
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 10 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