Research Scientist, AI for Science (PhD)

Summary:

Meta is seeking a Research Scientist to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI, on the Chemistry team. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.The Chemistry team develops AI-based methods to accelerate novel materials discovery for climate and AR/VR applications. The material domains currently being worked on are electro-catalysts for CO2RR & OER, nano-porous materials for direct air capture, and new materials for display technologies.

Required Skills:

Research Scientist, AI for Science (PhD) Responsibilities:

1. Lead research to advance the science and technology of intelligent machines.

2. Lead research that enables advances in AI applied to chemistry and material science.

3. Devise better data-driven models of chemistry and materials.

4. Work towards long-term ambitious research goals, while identifying intermediate milestones.

5. Influence progress of relevant research communities by producing publications.

6. Contribute research that can be applied to Facebook product development.

7. Lead and collaborate on research projects within a globally based team.

Minimum Qualifications:

Minimum Qualifications

1. Currently has or is in the process of obtaining a PhD in the field of Machine Learning, Computer Science, Physics, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.

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

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

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

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

6. Experience communicating complex research for public audiences of peers.

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

8. 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.

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

10. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

Preferred Qualifications:

Preferred Qualifications

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

2. Experience solving analytical problems using quantitative approaches.

3. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.

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

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

6. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

7. Experience working and communicating cross functionally in a team environment.

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + 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 ~~~.