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Postdoctoral Machine Learning Jobs in Washington

Umd

Post-Doctoral associate

College Park, MD

$65K - $80K/yr

Summary Summary UMIACS invites applications for a Postdoctoral Fellowship focused on the use of ... Demonstrated experience in programming languages (e.g., C/C++/CUDA/Triton) and machine learning ...

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Postdoctoral Machine Learning information

See Washington salary details

$28.3K

$66.8K

$94.6K

How much do postdoctoral machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for postdoctoral machine learning in Washington is $66,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $75,300.00 per year, depending on experience, location, and employer.

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 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 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.

What are popular job titles related to Postdoctoral Machine Learning jobs in Washington? For Postdoctoral Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Machine Learning jobs in Washington look for? The top searched job categories for Postdoctoral Machine Learning jobs in Washington are:
What cities in Washington are hiring for Postdoctoral Machine Learning jobs? Cities in Washington with the most Postdoctoral Machine Learning job openings:
Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,848 per year, or $32.1 per hour.

Post-Doctoral associate

Umd

College Park, MD

$65K - $80K/yr

Full-time

Posted 13 days ago

Job description

Job Description SummaryJob Description Summary
UMIACS invites applications for a Postdoctoral Fellowship focused on the use of artificial intelligence (AI) in computer systems and high-performance computing (HPC), and accelerating AI using HPC systems. This position offers an opportunity to research the intersection of computer systems, HPC and AI. The selected candidate will join Dr. Bhatele's research group and work closely with Dr. Goldstein's group.
Physical Demands: n/a
Minimum Qualifications:
Ph.D. in Computer Science, Mathematics, or a related field with a strong computer systems or AI component. Candidates who have recently defended their doctoral thesis or expect to do so by the fellowship start date are encouraged to apply.
Demonstrated experience in programming languages (e.g., C/C++/CUDA/Triton) and machine learning frameworks (e.g., PyTorch, TensorFlow).
Experience with parallel programming models and languages (e.g. MPI, OpenMP, CUDA, Kokkos)
Experience with fine-tuning AI models such as multi-modal models, agent-based models, Code LLMs.
Excellent writing and communication skills, with the ability to present complex information clearly to both academic and non-academic audiences.
A collaborative spirit, with a willingness to engage in interdisciplinary research and contribute to a team environment.Additional Job Details

Required Application Materials:

  • A cover letter detailing research interests and fit for the position.
  • A curriculum vitae including a list of publications.
  • A research proposal (max 2 pages) outlining your proposed ideas in the areas mentioned above
  • Contact information for three references.

Best Consideration Date: 2/3/25

Posting Close Date: NA

Open Until Filled: Yes

Financial Disclosure Required

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentCMNS-Institute for Advanced Computer StudiesWorker Sub-Type Faculty RegularSalary Range$65,000-80,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO/AA Statement

The University of Maryland, College Park is an EqualOpportunity/AffirmativeAction Employer; all qualified applicants, including veterans and people with disabilities, will receive consideration for employment. UMD is actively engaged in recruiting, hiring, and promoting underrepresented communities. Please read the entire University of MarylandEqual Employment Opportunity and Affirmative Action Statement of Policy.

Women, Minorities, Disabled, Veterans, and LGBTQ+ Welcome!

Diversity Statement

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Title IX Non-Discrimination Notice

The University of Maryland (UMD) does not discriminate on the basis of sex, gender identity or expression, sexual orientation, race, color religion, national origin, ethnicity, physical or mental disability, protected veteran status, age, genetic information or any other characteristic protected by law in its programs and activities. Specifically, Title IX prohibits discrimination on the basis of sex in UMD programs and activities, including with respect to admission and employment.

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