Research Scientist, Generative AI & World Modeling

Waymo LLC

New York (NY)

Híbrido

USD 213 000 - 263 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Discretionary annual bonus
Equity incentive plan
Company benefits program

Resumo da oferta

Waymo LLC, a leader in autonomous driving, is seeking an experienced researcher to join the Waymo AI Foundations team in a hybrid role reporting to a Software Engineering Manager. You will advance world modeling and generative AI for reliable autonomous driving.

Responsibilities include conducting world model research, post-training foundational models, designing experiments, and presenting results to peers and leadership while writing high-quality code, tests, and documentation.

Qualificações

  • Must have advanced degree in deep learning focused on generative or world modeling.
  • Experience with large-scale model training and evaluation.
  • Strong publication and research collaboration skills.

Responsabilidades

  • Conduct applied world model research and development.
  • Post-train Waymo world models and evaluate them.
  • Design experiments and train/evaluate large generative models.
  • Present results to peers and leadership.
  • Write high quality code, unit tests, and documentation; automate workflows.

Conhecimentos

Deep learning expertise
Generative/world modeling
Reinforcement learning
Large model training

Formação académica

Masters or PhD in deep learning (generative/world modeling)

Ferramentas

JAX
TensorFlow 2
PyTorch

Descrição da oferta de emprego

Waymo LLC, a leader in autonomous driving, is seeking an experienced researcher to join the Waymo AI Foundations team in a hybrid role reporting to a Software Engineering Manager. You will advance world modeling and generative AI for reliable autonomous driving.

Responsibilities include conducting world model research, post-training foundational models, designing experiments, and presenting results to peers and leadership while writing high-quality code, tests, and documentation.

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