Senior Research Scientist, AI Foundations Recipes

Waymo, Oxford, UK +3

The role

In this hybrid role, you will report to a Senior Staff Software Engineer.

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 our understanding of 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) to find targeted subsets of data for fine tuning and RL.
Run large-scale empirical studies linking pre-training data composition to downstream post-training performance, translating those scaling laws into optimized production training runs.
Collaborate closely with behavior, perception, and evaluation teams to test these foundation models and measure their impact on the performance of the Waymo Driver.

Waymo, Oxford, UK +3

In this hybrid role, you will report to a Senior Staff Software Engineer.

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 our understanding of 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) to find targeted subsets of data for fine tuning and RL.
Run large-scale empirical studies linking pre-training data composition to downstream post-training performance, translating those scaling laws into optimized production training runs.
Collaborate closely with behavior, perception, and evaluation teams to test these foundation models and measure their impact on the performance of the Waymo Driver.