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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 ...

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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 Aug 17, 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 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 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 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 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $122,293 per year, or $58.8 per hour.

Staff - Postdoctoral Research Fellow - AI for Science

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated Postdoctoral Research Fellow in AI for Science to join their research team. The role involves pursuing independent research at the intersection of artificial intelligence and scientific discovery, while collaborating with researchers to develop novel AI methodologies for scientific applications.
Responsibilities:
• Define and pursue an independent research program in AI for Science, aligned with MERL’s research directions
• Develop novel machine learning and AI methodologies for scientific discovery, modeling, and design
• Collaborate with MERL researchers across disciplines to connect fundamental advances with industrial applications
• Publish research results in top-tier conferences and journals
• Contribute to the broader research community through open-source software, datasets, or other artifacts where appropriate
Qualifications:
Required:
• PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field (or expected completion before start date)
• Strong background in machine learning, artificial intelligence, and computational science
• Experience in applying AI to scientific or engineering domains, particularly those domains described above
• Demonstrated ability to conduct independent research, as evidenced by a strong publication record in relevant venues
• Excellent communication skills and ability to collaborate in a multidisciplinary research environment
Company:
Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation. Founded in 1991, the company is headquartered in Cambridge, USA, with a team of 51-200 employees. The company is currently Growth Stage.