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Machine Learning Postdoc Jobs in Massachusetts (NOW HIRING)

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

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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$23.6K

$122.3K

$230.1K

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 Research Associate

Postdoctoral Research Associate

NorthEastern

Boston, MA

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

About the Opportunity

AI-Driven Ultrasound and Intelligent Sensing:

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 involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information directly from raw signals. The work spans algorithm development, advances in model-based AI, and translation to real-world clinical applications, offering an opportunity to contribute to next-generation imaging and diagnostic technologies.

QUALIFICATIONS:

  • Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start date).

  • Demonstrated research experience with quantitative ultrasound methods.

  • Strong background in modelbased or physicsinformed machine learning, with experience developing algorithms that integrate physics models, engineering principles, and AI techniques.

  • Ability to design, implement, and validate novel algorithms for applied or translational research, ideally with relevance to realworld or clinical imaging applications.

  • Proven research and academic writing experience, including the preparation of high-quality scholarly articles for peer-reviewed journals and conferences.

  • Experienced in mentoring and supervising students on research projects, with demonstrated leadership skills in guiding collaborative work.

  • Excellent communication abilities, including fluent spoken English and strong presentation skills, enabling effective dissemination of research outcomes and active engagement in international academic discussions.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.