Waymo's AI Foundations team is seeking a Senior Research Scientist to advance machine learning for autonomous driving. This role focuses on optimizing foundation model training through data mixture design, curation pipelines, and principled data-selection algorithms, bridging pre-training data composition to downstream performance. The position involves large-scale empirical studies and close collaboration with perception, behavior, and evaluation teams.
Responsibilities
Partner with foundation model training teams to determine optimal data mixtures, training curricula, objectives, and other design choices that shape model capabilities.
Design global-scale pipelines for dynamically updating and reusing data mixtures as model behavior evolves and real-world datasets are continually ingested.
Develop and deploy principled data-selection algorithms (e.g., influence estimation, proxy models, gradient similarity search) for fine-tuning and RL.
Run large-scale empirical studies linking pre-training data composition to downstream post-training performance.
Collaborate closely with behavior, perception, and evaluation teams to test foundation models and measure their impact on the Waymo Driver.
Requirements
PhD in ML or related AI/CS field, or MSc with a strong academic publication record.
Strong statistical and machine learning knowledge.
Waymo is an autonomous driving technology company and a subsidiary of Alphabet Inc. that develops self-driving hardware and software, testing autonomous vehicles and providing robotaxi services.
3+ years of experience with modern deep learning frameworks: JAX, TensorFlow/PyTorch.
Nice to Have
Proven track record of deploying ML models to production environments.
Deep learning experience with generative models (LLMs/VLMs), reinforcement learning or imitation learning, transformer models, autoencoders, and embeddings.