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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:

1. Advancing the state-of-the-art in AI for generative atomic world models.

2. Developing datasets to train and test AI models for Chemistry.

3. Developing, training, and scaling AI models for Chemistry in PyTorch.

4. Running large-scale chemistry simulations.

5. Developing processes to feedback experimental results into chemistry models.

6. Efficiency optimization of classic and ML based chemistry software.

7. Writing research papers and associated open source data and code releases.

Minimum Qualifications:

Minimum Qualifications:

8. Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc

9. Experience devising data-driven models and real-system experiments and design implementation for AI design and optimization

10. Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures

11. Experience with Python, C++, C, Julia, or other related language

12. Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow

13. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

14. Intent to return to the degree program after the completion of the internship/co-op

15. 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

16. Experience solving analytical problems using quantitative approaches

17. Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources

18. Experience in utilizing theoretical and empirical research to solve problems

19. Experience doing optimization based on machine learning and/or deep learning methods

20. Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

21. 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 $12,134/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].