1

Machine Learning Chemistry Postdoc Jobs (NOW HIRING)

R&D Intern

Saint Paul, MN · On-site

$22 - $25/hr

The R&D (Materials Data) Intern will work at the intersection of machine learning, chemistry, and polymer science to accelerate the development of next-generation products within the adhesives market.

R&D Intern

Saint Paul, MN · On-site

$22 - $25/hr

The R&D (Materials Data) Intern will work at the intersection of machine learning, chemistry, and polymer science to accelerate the development of next-generation products within the adhesives market.

R&D Intern

Saint Paul, MN · On-site

$25/hr

The R&D (Materials Data) Intern will work at the intersection of machine learning, chemistry, and polymer science to accelerate the development of next-generation products within the adhesives market.

About Superluminal Medicines Superluminal Medicines is a generative biology and chemistry company ... About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ...

Postdoctoral Associate * 536659 * Food Science and Technology * Research Faculty * Agriculture ... chemistry * Research experiences in machine learning and molecular simulation * Demonstrated a ...

postdoc

Baltimore, MD · On-site

$48K - $66K/yr

... chemistry, environmental microbiology and Artificial Intelligence ... The candidate will combine environmental biotechnology, microscopy, AI/machine learning, omics to ...

Showing results 21-40

Machine Learning Chemistry Postdoc information

See salary details

$13

$22

$32

How much do machine learning chemistry postdoc jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for machine learning chemistry postdoc in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What is a machine learning chemistry postdoc?

A Machine Learning Chemistry Postdoc is a research position for individuals who have recently earned a PhD and are working at the intersection of machine learning and chemistry. These postdocs develop and apply computational algorithms to solve complex problems in chemistry, such as predicting molecular properties, drug discovery, or material design. They often collaborate with experimental scientists and other computational researchers to advance scientific understanding and innovation. The role typically involves publishing research findings, presenting at conferences, and contributing to grant proposals or collaborative projects.

What are some typical collaborative projects a machine learning chemistry postdoc might work on within a research group?

As a Machine Learning Chemistry Postdoc, you will often collaborate on interdisciplinary projects that combine expertise in computational chemistry, machine learning, and experimental sciences. Typical collaborations include developing predictive models for molecular properties, optimizing chemical synthesis routes, or working with experimentalists to validate computational predictions. You may also participate in code development, data curation, and presenting findings at group meetings or conferences. Such teamwork is essential for integrating machine learning approaches with domain-specific chemistry knowledge, ultimately driving impactful research outcomes.

What are the key skills and qualifications needed to thrive as a machine learning chemistry postdoc, and why are they important?

To thrive as a Machine Learning Chemistry Postdoc, you need a strong background in computational chemistry, machine learning algorithms, and a Ph.D. in chemistry, chemical engineering, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and computational chemistry software is typically required. Critical thinking, problem-solving, and effective communication are standout soft skills for collaborating across scientific disciplines. These skills and qualities are crucial for driving innovative research, interpreting complex data, and advancing the intersection of chemistry and artificial intelligence.

What are popular job titles related to Machine Learning Chemistry Postdoc jobs?

For Machine Learning Chemistry Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Chemistry Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

PostDoc - Machine Learning

Upton, NY • On-site

Brookhaven National Laboratory
Scientific Research and Development Services • 1 - 5K employees

$74K - $122K/yr

Full-time

Re-posted 13 days ago


Job description

The Artificial Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing approaches for scientific applications; (ii) Large Language Models (LLMs) and multimodal foundation models for cross-domain reasoning and knowledge integration; (iii) continuous learning and model adaptation in dynamic and evolving environments; and (iv) Agentic AI systems for autonomous discovery, planning, and decision-making.

The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects spanning the full breadth of BNL's and the DOE's missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs.


Essential Duties and Responsibilities:

  • Conduct research in ML, multimodal foundation models, continuous learning, and agentic AI systems for various problems relating to autonomous scientific discovery.

  • Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.

  • Formulate high-quality research ideas and directions in collaboration with mentors in the department.

  • Communicate research progress, challenges, and achievements, and engage within and beyond the department on new potential collaborations.

Position Requirements
Required Knowledge, Skills, and Abilities:

  • Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics)

  • Strong theoretical understanding and practical experience in machine learning, multimodal foundation models, continuous learning, and agentic AI techniques

  • Demonstrated publication record in machine learning field

  • Excellent programming and computer science skills

Preferred Knowledge, Skills, And Abilities:

  • Practical experience developing novel ML, multimodal foundation models, continuous learning systems, or agentic AI models.

  • Experience with state-of-the-art multimodal foundation models and agentic AI frameworks

  • Experience in large-scale deep learning systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines.

  • Experience in multi-modality data analysis (e.g., image, video, text).

  • Experience working in multidisciplinary collaborations.

Other Information:

  • Initial 2-year term appointment subject to renewal contingent on performance and funding

  • Candidates must have received a Ph.D. by the commencement of employment.

  • BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events

  • This is a fully onsite position located at BNL in Upton, NY

Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $74050 - $122550 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group.

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program

Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory - view more information atwww.bnl.gov/real-id. This is due to nationwide identification requirements for federal site access as required by the federalREAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews.

About Us

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.

Equal Opportunity/Affirmative Action Employer

Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal Contractor

BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at:https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file