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Postdoctoral Fellow Machine Learning Jobs in Pittsburgh, PA

Carnegie Mellon University

Post Doctoral Fellow

Pittsburgh, PA · On-site

$47K - $64K/yr

We are looking for a postdoctoral fellow who will contribute to original research to improve student learning outcomes through improved tutoring for the PLUS project and the NTO. This fellow would be ...

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Postdoctoral Fellow Machine Learning information

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$24.3K

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$81.1K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for postdoctoral fellow machine learning in Pittsburgh, PA is $57,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $64,600.00 per year, depending on experience, location, and employer.

What is a postdoctoral fellow in machine learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a postdoctoral fellow in machine learning?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by postdoctoral fellows in machine learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Pittsburgh, PA? For Postdoctoral Fellow Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Pittsburgh, PA look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Postdoctoral Fellow Machine Learning jobs? Cities near Pittsburgh, PA with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow Machine Learning jobs near you

McWilliams Postdoctoral Fellow 2025

Carnegie Mellon University

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 22 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

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Job description

Description
The Department of Physics at Carnegie Mellon University invites applications for the McWilliams Postdoctoral Fellowship. McWilliams Fellows are expected to carry out their own programs of original research, independently or in collaboration with Carnegie Mellon faculty, postdoctoral fellows, and students. We welcome applications from researchers working in any area of astrophysics and/or cosmology.
McWilliams Postdoctoral Fellows are part of CMU's McWilliams Center for Cosmology and Astrophysics (website http://www.cmu.edu/cosmology). The McWilliams Center synergizes research carried out in CMU's Departments of Physics, Computer Science, Machine Learning, and Statistics, and enjoys close relationships with the University of Pittsburgh's Department of Physics and Astronomy. Carnegie Mellon's physics faculty hold leadership roles in multiple large sky surveys and consortia, including DES, DESI, HSC, LISA, and Rubin LSST. CMU is also a co-host of LINCC Frameworks which is developing analysis software infrastructure to enable the use of Rubin LSST data. Theoretical and observational studies within the Center cover a wide range of astrophysical phenomena, including galaxy and structure formation, black holes and gravitational waves, stellar evolution, gravitational lensing, dynamical detection of dark matter (see list of center faculty here: https://www.cmu.edu/cosmology/people/index.html). The McWilliams Center benefits from the Vera computing cluster at the Pittsburgh Supercomputing Center, which provides high-performance computing resources on a variety of scales and works closely with our scientists.
Fellowship appointments are for 2 years, with renewal for a third year likely, contingent upon satisfactory progress. The position comes with a competitive salary, an annual research budget, health benefits, and relocation expenses.
Qualifications
Applicants should hold a Ph.D. in physics, astronomy, or an adjacent field by the time of appointment, which is anticipated to begin September 1, 2026.
Application Instructions
Applications should be uploaded to the Interfolio website and must include a curriculum vitae, publication list, a statement of research interests, and a cover letter. The cover letter should identify the applicant's scientific background and goals, explain any synergies that make CMU a good fit for the proposed work, and can include examples of the candidate's engagement within both academic and general public communities. There are no formal page limits, but the AAS Postdoctoral Guidelines should be seen as a target for length and detail.
In addition, candidates should arrange for three letters of recommendation to be uploaded (a prompt will be sent automatically to the applicant's references when their contact information is entered at the Interfolio site). For full consideration, all materials should be received by November 10, 2025.
For questions about the position, please contact Prof. Antonella Palmese (apalmese@andrew.cmu.edu).

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