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Postdoctoral Machine Learning Jobs (NOW HIRING)

Berkely Lab

Postdoctoral Scholar

San Francisco, CA · On-site

... machine learning, and high-performance computing for one or more of the following: (1) ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

The Pennsylvania State University

POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

Postdoctoral Associate Apply now Back to search results Job no: 536282 Work type: Research Faculty ... AI for cybersecurity, including the use of machine learning and large language models for cyber ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62.50K - $67.50K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Conducting advanced research in machine learning and data analytics for power system operation and ...

University of Idaho

Postdoctoral Researcher

Moscow, ID · On-site

$58.82K/yr

The postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position ...

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How much do postdoctoral machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for postdoctoral 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 Machine Learning job?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the key skills and qualifications needed to thrive in the Postdoctoral Machine Learning position, and why are they important?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What are the typical daily responsibilities of a Postdoctoral Machine Learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.
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Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in the United States as of May 2026, with employment types broken down into 13% Locum Tenens, 25% Internship, 37% Full Time, and 25% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Nebraska Medical Center

Omaha, NE

Full-time

Posted 26 days ago

University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

46th of 992 rated hospitals

Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2025 - 291 Department Neurological Sciences 50001975 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule As directed by supervisor Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 12/16/2025
Position Qualification
Position Summary
The WANG Lab at the University of Nebraska Medical Center's Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc.
Required Qualifications:
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Questions may be directed to Dr. Jieqiong Wang at jiwang@unmc.edu
Required Qualifications
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.
Supplemental Qualifications

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