Research Scientist, AI for Science (PhD)
San Francisco, CA
Meta
Giving people the power to build community and bring the world closer together- 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 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 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
- 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
- Experience in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics
- 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 broad points of view to determine a path forward
- Experience working and communicating cross functionally in a team environment
- Experience in areas such as deep learning, generative models, graphical models, reinforcement learning, computer perception, natural language processing and data representation
$117,000/year to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Tags: Architecture Chemistry Computer Science Deep Learning Engineering Generative modeling 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 / stock options Health care Salary bonus
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