ML Engineer, Foundation Model Infrastructure
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
Already have an account? Log in
Similar openings
Other roles that could suit you.
? iOS Developer, AI Apps ? Senior ML Engineer - Neural Rendering ? Staff Safety Data Scientist / Statistician (Risk & Safety Analysis) ? Senior Machine Learning Engineer ? Staff GenAI Engineer - Application Performance Monitoring (APM) ? Intelligence Lead, Security & Privacy, GenAI (18 months Fixed Term Contract)