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Postdoctoral Machine Learning Jobs in Washington

Axle

Data Science Fellow - AI/NLP

Rockville, MD

The postdoc will work at the intersection of large language models, biomedical NLP, scientific ... machine learning, data science, or a related field. * Strong Python programming skills.

Umd

Post Doctoral Associate

College Park, MD

$75K - $90K/yr

... postdoctoral scientist to conduct biomolecular research. The researcher will join a ... machine learning to identify odorant signatures. The position provides the opportunity for ...

Umd

Post-Doctoral Associate

College Park, MD · On-site

$65K - $75K/yr

... biology postdoctoral fellow positions as part of its newly established Quantitative Biology ... machine learning, and recurrent and deep neural networks. QBI Fellows will have two departmental ...

Umd

Post-Doctoral associate

College Park, MD · On-site

$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

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$28.3K

$66.8K

$94.6K

How much do postdoctoral machine learning jobs pay per year?

As of Jun 19, 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

NIST PREP Postdoc Associate in Process Modeling using Physically Informed Machine Learning

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$84K - $92K/yr

Full-time

Posted 17 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Process Modeling using Physically Informed Machine Learning
The work will entail:
  • Designing and training physics-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements.
  • Implementing algorithms to assess the performance of PIML models.
  • Assessing uncertainty in the predictions of PIML models.
  • Developing systems for multiscale modeling of atomic layer deposition processes.
  • Developing software to implement the goals stated above (most likely in Python).
  • Disseminating results through posters/seminars and international meetings and meeting seminars.
  • Ensuring that all results, findings, data, software, etc. are correctly archived and transmitted through appropriate channels.

U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Algorithm development, implementation, and analysis
  • Analyze heterogeneous data sources.
  • Presenting results at internal meetings, and occasional meetings with external stakeholders.
  • Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications
  • A Ph.D degree in Chemistry, Physics, Mathematics, Computer Science, Data Science, or a related field.
  • Significant course work in one or more of chemistry, physics, mathematics, statistics and/or computer science.
  • Familiarity with one or more chemical process modeling packages (e.g. Cantera, CHEMKIN).
  • Familiarity with one or more AI/ML software packages (e.g. Tensorflow or Pytorch).
  • Ability to program in a modern computational language (e.g. Python).
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0003547

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