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Machine Learning Postdoc Jobs (NOW HIRING)

Jane Street

Machine Learning Researcher

New York, NY · On-site

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

Jane Street

Machine Learning Researcher

New York, NY · On-site

An undergraduate, PhD student, or postdoc with practical experience working on ML problems ... Curious about the machine learning landscape and excited to apply state-of-the-art techniques drawn ...

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Machine Learning Postdoc information

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.

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Infographic showing various Machine Learning Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Scientist or Postdoctoral Associate in Formal Methods for Security and Machine Learning

UMass Lowell

Lowell, MA • On-site

$70K - $85K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

General Summary of Position:

The Programming Languages research group (PLOW), led by Prof. Anitha Gollamudi at the Richard Miner School of Computer Science and Information, invites applications for a postdoctoral associate or research scientist position in the area of formal methods for security and machine learning.

Minimum Qualifications:

Postdoctoral Research Associate:

Education:

  • PhD in Computer Science, Mathematics or a related field

Research Scientist:

Education:

  • PhD in Computer Science, Computer Engineering, Mathematics

Experience:

  • At least one postdoctoral or post-PhD research (min: 2 years, full time) related experience

Common Skills:

  • Publications in top-tier venues in at least one of the following areas: security, programming languages, or machine learning
  • Strong programming skills and motivation to pursue independent research

Additional Considerations:

  • Background in cryptography or machine learning
  • Expertise in numerical methods is a significant plus
  • Expertise in GPU programming (or High Performance Computing) is a significant plus
  • Experience with formal methods and enthusiasm for applying them to security and/or machine learning
  • Applicants should have excellent written and oral communication skills
  • Ability to work independently, with limited direction, as well as within a team environment.

Special Instructions to Applicants:

Only current UML Employees within the Grants & Contracts (MTA/GRACE) bargaining unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.

This is a full-time, grant-funded, benefited position with an anticipated hiring range of $70,000-$85,000, and an anticipated starting salary of $70,000 for the position of research scientist. Anticipated hiring range for postdoc is $60,000-70,000. The specific title (postdoctoral associate or research scientist) will depend on the candidate's qualifications and experience.

This position is contingent upon funding, productivity, successful performance and the availability of funding. The initial appointment is for one year, with the possibility of renewal based on productivity, successful performance, and the availability of funding.

Review of applications will begin immediately and continue until the position is filled; however, the posting may close when an adequate number of qualified applications is received.

Please include a curriculum vitae (CV), cover letter, research statement and publication list with your application. Names and contact information for three references will be required during the application process.


The University of Massachusetts President's Office welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.
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About Umass Lowell

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Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Lowell, MA, US

Year founded

2021

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