Research Scientist Intern, FAIR Chemistry
San Francisco, CAInternship$7,650–12,667/moSeen 5 days agoSeen in employer's feed 4 days ago
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
Meta seeks Research Interns to join the FAIR Chemistry team, which develops AI-based methods for modeling the world at the atomic level. The work applies chemistry and materials science to areas including energy sustainability, drug discovery, and display materials. Internships last 12–16 or 24 weeks, with various start dates throughout the year.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
Meta is seeking Research Interns to join the FAIR Chemistry team. The Chemistry team develops AI-based methods to model the world at the atomic level. Chemistry and materials science applications include energy sustainability, drug discovery and new materials for display technologies.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Required Skills:
Research Scientist Intern, FAIR Chemistry Responsibilities:
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Advancing the state-of-the-art in AI for generative atomic world models.
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Developing datasets to train and test AI models for Chemistry.
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Developing, training, and scaling AI models for Chemistry in PyTorch.
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Running large-scale chemistry simulations.
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Developing processes to feedback experimental results into chemistry models.
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Efficiency optimization of classic and ML based chemistry software.
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Writing research papers and associated open source data and code releases.
Minimum Qualifications:
Minimum Qualifications:
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Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Chemistry, Chemical Engineering, Materials Science, Physics, Artificial Intelligence, or relevant technical field
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Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc
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Experience devising data-driven models and real-system experiments and design implementation for AI design and optimization
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Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures
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Experience with Python, C++, C, Julia, or other related language
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Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow
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Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
Preferred Qualifications:
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Intent to return to the degree program after the completion of the internship/co-op
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Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, CVPR, ICCV, ICLR, or similar
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Experience solving analytical problems using quantitative approaches
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Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
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Experience in utilizing theoretical and empirical research to solve problems
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Experience doing optimization based on machine learning and/or deep learning methods
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Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
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competitions, or widely used contributions in open source repositories (e.g. GitHub). Experience working and communicating cross functionally in a team environment
Public Compensation:
$7,650/month to $12,667/month + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
How this job compares
Set against the 2,289 open Research Scientist jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$7,650–12,667/mo
- California median$180–270K/yr495 salary ranges
- US median$34–48/hr45 hourly ranges
- Openings
- Olive Jobs lists 713 open Research Scientist jobs in California and 2,289 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- Research Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 2 to 6 years (1,264 postings).
- Education
- This posting asks for a doctorate or professional degree; 821 of the 2,289 open Research Scientist jobs (36%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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