Research Scientist, AI for Science
Seattle, WA | San Francisco, CA
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.Research Scientist, AI for Science Responsibilities
- Lead research to advance the science and technology of intelligent machines.
- Lead research that enables advances in AI applied to chemistry and material science.
- Devise better data-driven models of chemistry and materials.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Influence progress of relevant research communities by producing publications.
- Contribute research that can be applied to Facebook product development.
- Lead and collaborate on research projects within a globally based team.
- 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.
- Experience applying artificial intelligence to a scientific domain such as computational photonics, computational design, computational chemistry, etc.
- Experience devising data-driven models and real-system experiments and design implementation for AI design and optimization.
- Experience with scalable machine learning systems, resource-efficient AI data and algorithm scaling, or neural network architectures.
- Experience with Python, C++, C, Julia, or other related language.
- Experience communicating complex research for public audiences of peers.
- Experience with deep learning frameworks such as Pytorch, Jax, or Tensorflow.
- 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.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 3+ years of work experience in an industry, university, or government lab.
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
- Experience solving analytical problems using quantitative approaches.
- Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
- Experience in utilizing theoretical and empirical research to solve problems.
- Experience doing optimization based on machine learning and/or deep learning methods.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Architecture Chemistry Computer Science Deep Learning Engineering GitHub ICLR ICML JAX Julia Machine Learning Mathematics NeurIPS NLP Open Source PhD Physics Python PyTorch Reinforcement Learning Research Statistics TensorFlow VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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