Staff Machine Learning Engineer - End to End Autonomy
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 strategy and development of end-to-end autonomous driving research initiatives, spanning onboard and offline applications, across cross-organ tech leads.
Bridge research and production by identifying opportunities, resolving ambiguities, and transferring successful research into production paths.
Design, implement, experiment with, and benchmark ML models for end-to-end driving, including data strategy, multistage training, evaluation, and deployment.
Scale ML pipelines for large foundation models and optimize edge deployment to meet state-of-the-art architectures.
Collaborate across time zones with Data, Perception, Simulation and TRI Research teams to define interfaces and drive technical decisions.
Initiate and mentor best practices in ML, contributing to a culture of excellence and continuous learning.
Bridge research and production by identifying opportunities, resolving ambiguities, and transferring successful research into production paths.
Design, implement, experiment with, and benchmark ML models for end-to-end driving, including data strategy, multistage training, evaluation, and deployment.
Scale ML pipelines for large foundation models and optimize edge deployment to meet state-of-the-art architectures.
Collaborate across time zones with Data, Perception, Simulation and TRI Research teams to define interfaces and drive technical decisions.
Initiate and mentor best practices in ML, contributing to a culture of excellence and continuous learning.
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.