Machine Learning Intern, Vehicle Perception
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The role
This internship focuses on researching and prototyping perception ML models for autonomous driving, leveraging large-scale data and a mature ML stack.
Prototype and validate new architectures, iterating to improve accuracy, latency, and robustness of perception systems.
Own end-to-end development of a new model functionality—from initial implementation to production platform validation and road testing.
Collaborate with perception engineers and downstream teams, communicating results clearly and driving cross-functional progress.
Leverage extensive ML infrastructure and datasets to test ideas and deliver deployable solutions for prototype vehicles.
Structured mentorship, milestone-driven work, and a final presentation to the autonomy team summarize your impact.
Prototype and validate new architectures, iterating to improve accuracy, latency, and robustness of perception systems.
Own end-to-end development of a new model functionality—from initial implementation to production platform validation and road testing.
Collaborate with perception engineers and downstream teams, communicating results clearly and driving cross-functional progress.
Leverage extensive ML infrastructure and datasets to test ideas and deliver deployable solutions for prototype vehicles.
Structured mentorship, milestone-driven work, and a final presentation to the autonomy team summarize your impact.
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