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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 ...

... postdoctoral researchers to join as soon as possible. The research focus is on developing and ... Coding and/or machine learning experience Key Responsibilities & Accountabilities * Conduct ...

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Machine Learning Postdoc information

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$23.6K

$122.3K

$230.1K

How much do machine learning postdoc jobs pay per year?

As of Sep 8, 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 is a machine learning postdoc?

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?

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 key skills and qualifications needed to thrive in a machine learning postdoc position?

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 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 August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $122,293 per year, or $58.8 per hour.

Postdoctoral Associate, Fiete Lab

MIT Human Resources

Cambridge, MA • On-site

Full-time

Re-posted 22 days ago


Job description

POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological intelligence through neural circuit modeling. The candidate will collaborate with researchers studying memory circuits through physiological experiments and large-scale brain datasets. The position offers opportunities for interdisciplinary collaboration, publications, conference presentations, and participation in lab meetings and mentorship.

The full job description is available, here: https://docs.google.com/document/d/1C6tjLGrh45_k3EwcixMTrHMa_tB5LmWjjY1-GoE93rk/edit?tab=t.0


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About MIT Human Resources

Sourced by ZipRecruiter

Our mission is to advance a vibrant and diverse work community where individuals and groups thrive and contribute to MIT's excellence. We offer Support, Services, and Programs to enhance your work life. We're here to help. MIT is committed to helping employees achieve a healthy balance between their careers and the full lives they lead off-campus. Explore all of MIT's Work & Life resources, including MyLife Services, which provides 24/7 access to a network of experts available to help with life’s challenges.

Industry

Human resource programs administration

Company size

1 - 10 Employees

Headquarters location

Cambridge, MA, US

Year founded

2014