ZipRecruiter

Log In

1

Temporary Machine Learning Postdoc Jobs in Massachusetts

NorthEastern

Postdoctoral Research Associate

Boston, MA · On-site

$60K - $85K/yr

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

next page

Showing results 1-20

People also search for

All JobsTemporary Machine Learning Postdoc JobsTemporary Machine Learning Postdoc Jobs in Massachusetts

Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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 Temporary Machine Learning Postdoc jobs in Massachusetts? For Temporary Machine Learning Postdoc jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Massachusetts look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Massachusetts are:
What cities in Massachusetts are hiring for Temporary Machine Learning Postdoc jobs? Cities in Massachusetts with the most Temporary Machine Learning Postdoc job openings:
Temporary Machine Learning Postdoc jobs near you
Infographic showing various Temporary Machine Learning Postdoc job openings in Massachusetts as of June 2026, with employment types broken down into 52% Full Time, 22% Part Time, and 26% Temporary. Highlights an 95% In-person, and 5% Remote job distribution.
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Lar...

Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Lar...

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Posted 9 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 Computer Science - From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post-Training
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Kempner Institute and Computer Science
Position Description
We invite applications for a Postdoctoral Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS and the Kempner Institute. The lab's research focuses on improving the capabilities of foundation models using reinforcement learning-from theory to practice. This position will emphasize large-scale reinforcement learning for post-training, studying both practical and theoretical issues pertaining to post-training techniques.
Successful candidates must be able to work as part of a team performing research to support the project. Additional responsibilities include preparing publications and reports, mentoring graduate students, and collaborating with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have strong oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for one year, renewable for additional years following performance review and funding availability.
Basic Qualifications
Ph.D. in computer science, applied physics, applied math, or a related discipline.
Additional Qualifications
Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects.
Special Instructions
A complete application must include a curriculum vitae, 2-5 letters of reference, 2 publication samples, and a 1-2-page research statement. In your cover letter, please also address the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve?
Contact Information
Anana Charles, Faculty Coordinator
Contact Email
acharles@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
Machine Learning
Reinforcement Learning
Foundational Models
Post-Training
Large Language Models

Apply