Staff, ML Engineer - E2E
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
The role
Lead end-to-end model development for autonomous driving, connecting multi-modal perception inputs to driving decisions.
Design and deploy differentiable pipelines and scalable multi-task architectures using real-world and simulated data.
Define learning objectives aligned with safety, comfort, efficiency, and regulatory compliance, and drive large-scale training and evaluation.
Collaborate with Perception, Prediction, and Motion Planning teams to ensure interface consistency between learned and modular components.
Establish robust end-to-end evaluation frameworks, including closed-loop simulation and on-road validation, and mentor engineers in experimentation and debugging.
Stay at the frontier of ML research with focus on foundation models, sequence modeling, self-supervision, and generative world representations.
Design and deploy differentiable pipelines and scalable multi-task architectures using real-world and simulated data.
Define learning objectives aligned with safety, comfort, efficiency, and regulatory compliance, and drive large-scale training and evaluation.
Collaborate with Perception, Prediction, and Motion Planning teams to ensure interface consistency between learned and modular components.
Establish robust end-to-end evaluation frameworks, including closed-loop simulation and on-road validation, and mentor engineers in experimentation and debugging.
Stay at the frontier of ML research with focus on foundation models, sequence modeling, self-supervision, and generative world representations.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.