TL;DR

Postdoctoral Scientist (AI): Conducting AI research on foundation models, large-scale representation learning, and distributed learning methods to invent, implement, and deploy state-of-the-art machine learning algorithms and systems. Focus on hardware-informed efficient model architecture, training objective and curriculum design, and distributed training methods.

Company

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What you will do

Leverage machine learning models and advanced statistical techniques to extract valuable insights from historical data.
Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.
Collaborate with cross-functional teams to develop and deploy production-ready solutions.
Participate in research activities, including publishing papers and attending conferences.
Work closely with a senior science advisor and collaborate with other scientists and engineers.
Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

Requirements

PhD in a relevant field, received within 2 years of starting the program.
Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Operations Research, Economics, or other related technical fields.
Experience in data science and quantitative research.
Proficiency in technologies relevant to the sub-field.

Nice to have

Ability to independently deliver results in a fast-paced environment.
Publications at top-tier, peer-reviewed conferences and/or journals.
Exceptional verbal and written communication skills.
Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies.