Responsibilities
- Perform research that advances the state-of-the-art in AI for chemistry and materials science
- Work closely with internal and external partners to realize impact of methods advances
- Work towards long-term goals, while identifying intermediate milestones
- Influence progress of relevant research communities by producing publications
- Open source high quality code and produce reproducible research
Minimum Qualifications
- 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
- A PhD in AI, computer science, data science, science/engineering, or related technical fields
- First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
- Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, AI for science, or related areas
- Experience in developing and debugging in Python or similar programming languages
Preferred Qualifications
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
- Experience collaborating in a team environment on research projects
- Experience in applying AI systems to solve science and engineering problems
- Experience in molecular simulations, long timescale dynamics, or generative models
$122,000/year to $181,000/year + bonus + equity + benefits
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