ML Engineer, Foundation Model Infrastructure
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El puesto
Develop and operate petabyte-scale data systems and ML pipelines essential for foundation model development.
Advance cutting-edge foundation models from prototypes to robust, on-road components.
Build automated infrastructure for rigorous benchmarking, continuous monitoring, and safe releases.
Leverage large-scale compute and frameworks like Flume and JAX to process massive datasets and train deployable models.
Improve the end-to-end ML lifecycle in speed, reliability, and efficiency through scalable tooling and workflows.
Collaborate with AI Foundations, ML, and Platform teams to translate model innovations into real-world driving improvements.
Advance cutting-edge foundation models from prototypes to robust, on-road components.
Build automated infrastructure for rigorous benchmarking, continuous monitoring, and safe releases.
Leverage large-scale compute and frameworks like Flume and JAX to process massive datasets and train deployable models.
Improve the end-to-end ML lifecycle in speed, reliability, and efficiency through scalable tooling and workflows.
Collaborate with AI Foundations, ML, and Platform teams to translate model innovations into real-world driving improvements.
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