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Postdoctoral Fellow Machine Learning Jobs (NOW HIRING)

Postdoctoral Fellow

Bloomington, IN · On-site

$45K - $61K/yr

Our research examines mechanisms of human learning, the conceptual structure of human knowledge ... We invite applications for a postdoctoral fellow to conduct and support research in Terracotta.

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

Postdoctoral Fellow Position #00848430: - Requisition #:39971 Job Summary: The Pividori Lab (pivlab.org; PI: Dr. Milton Pividori) designs and implements machine-learning methods that are applied to ...

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Postdoctoral Fellow Machine Learning information

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$25K

$59K

$83.5K

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

As of Jun 26, 2026, the average yearly pay for postdoctoral fellow machine learning in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 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, and why are they important?

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.
More about Postdoctoral Fellow Machine Learning jobs
What cities are hiring for Postdoctoral Fellow Machine Learning jobs? Cities with the most Postdoctoral Fellow Machine Learning job openings:
What states have the most Postdoctoral Fellow Machine Learning jobs? States with the most job openings for Postdoctoral Fellow Machine Learning jobs include:
Infographic showing various Postdoctoral Fellow Machine Learning job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Moore Postdoctoral Fellowship

Moore Postdoctoral Fellowship

University of California, San Diego

San Diego, CA • On-site

$82K/yr

Other

Posted 17 days ago


University Of California San Diego rating

8.1

Company rating: 8.1 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

131st of 539 rated colleges and universities


Job description

Position overview
Position title: Moore Postdoctoral Fellow
Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632.
The posted UC academic salary scales ( https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html ) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position - https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf
"Off-scale salaries", i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Application Window
Open date: February 9, 2026
Most recent review date: Tuesday, Feb 24, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Monday, Feb 1, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Environmental Fluid Dynamics Lab in the Department of Mechanical and Aerospace Engineering at UCSD invites applications for a postdoctoral fellowship funded by the Gordon and Betty Moore Foundation focused on the topic of machine learning-based ocean state estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine learning and reduced-order modeling, for ocean state estimation with quantified uncertainties. The central aim is to increase the efficiency and accuracy of near-field prediction of physical and biological conditions for marine operations including marine carbon dioxide removal (mCDR) and aquaculture. The ideal candidate will have experience in two or three of the focal areas: data driven modeling, scientific machine learning or coastal ocean physics; and will have an interest in applying these towards ocean applications. The position will also include collaborative work with investigators at partner
institutions.
Additional information about postdoctoral positions at UCSD and benefits can be found on the UCSD Office of Postdoctoral and Research Scholar website.
DUTIES AND RESPONSIBILITIES
• Develop and apply reduced-order modeling approaches using spatiotemporal decompositions of large high-resolution simulation datasets.
• Develop and train machine learning architectures using reduced-order predictions together with heterogeneous observational data.
• Integrate data driven methods into a framework for uncertainty-aware ocean state estimation.
• Apply and validate the framework using datasets at experimental sites.
• Publish research in peer-reviewed journals and present results at national and international conferences;
• Mentor graduate and undergraduate students in the Environmental Fluid Dynamics Lab.
The postdoc will work directly with Dr. Geno Pawlak Tejada ( https://sites.google.com/ucsd.edu/efdlab ), Boris Kramer ( https://kramer.ucsd.edu ) and Oliver Schmidt ( https://flowphysics.ucsd.edu ) at the Department of Mechanical and Aerospace Engineering and will also collaborate with co-investigators at Stanford University. Additionally, there will be opportunities to mentor graduate and undergraduate students. The initial appointment will be for two years with possible extension, subject to performance and availability of funding. The total duration of an individual's postdoctoral service may not exceed five years, including postdoctoral service at other institutions. Salary will commensurate with qualifications and experience and with the UCSD Postdoc Salary Scale. ( https://postdoc.ucsd.edu/postdocs/index.html )
Qualifications
Basic qualifications (required at time of application)
Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics;
Additional qualifications (required at time of start)
• Experience in numerical fluid dynamics or ocean model application, validation and analysis;
• Ability to collaborate effectively in a team environment;
• Excellent written and oral communication skills;
Preferred qualifications
• Publication record in peer-reviewed journals related to the minimum qualifications;
• Ability to pursue research independently.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Research
  • Summary of Doctoral Dissertation - One page summary (abstract) of your doctoral dissertation.

Reference requirements
  • 3-5 required (contact information only)

If referee contact names are provided by deadline, application is noted as complete. Reference requests are generated automatically by Recruit. There will be one week's grace period to receive letters after the application deadline.
Apply link: https://apol-recruit.ucsd.edu/JPF04454
Help contact: tcandrews@ucsd.edu
About UC San Diego
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a university employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California prohibits smoking and tobacco use at all of its university-controlled properties.
The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf . This report provides crime and fire statistics, as well as institutional policy statements & procedures. Contact the UC San Diego Police Department at (858) 534-4361 if you want to obtain paper copies of this report.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
Click for more information on Assembly Bill-810
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• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy: [ https://policy.ucop.edu/doc/4000385/SVSH ]
• UC Anti-Discrimination Policy for Employees, Students and Third Parties: [ https://policy.ucop.edu/doc/1001004/Anti-Discrimination ]
Job location
San Diego, CA

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