Behavior & Planning (ML Research) Intern

Mountain View, CA · Remoteinternship

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Aurora Operations Inc Behavior & Planning (ML Research) Interns develop planning and prediction models for the Aurora Driver using imitation learning, reinforcement learning, and classical motion planning. They formulate driving-behavior problems as ML or optimization problems and work with large-scale autonomy datasets.

Responsibilities

Develop end-to-end planning or prediction models for the Aurora Driver using imitation learning, reinforcement learning, and/or classical motion planning
Formulate ambiguous driving-behavior problems as concrete ML or optimization problems
Reason about competing objectives (e.g. progress vs. safety) and uncertainty in your model design and evaluation
Work with autonomy/robotics-scale datasets and benchmarks, not just toy datasets
Present a project plan and regular progress updates to the team, working closely with a mentor

Qualification

Currently pursuing a BachelorsSome exposure to imitation learningDesirable qualifications

Required

Currently pursuing a Bachelors, Master's or PhD in Computer Science, Robotics, or a related field, with a research or ML focus
Strong ML foundations with hands-on experience in PyTorch, including custom dataloaders, architectures, and loss functions
Some exposure to imitation learning, reinforcement learning, or motion planning
Experience training models on large-scale, non-toy datasets or benchmarks
Ability to reason mathematically about optimization objectives
Awareness of the compounding-error / distribution-shift problem in imitation learning
Desirable qualifications
Publication record at a peer-reviewed venue
Experience with constrained optimization or preference tuning (e.g. RLHF, DPO)
Experience with online reinforcement learning or interactive learning (e.g. DAgger)

Preferred

Publication record at a peer-reviewed venue
Experience with constrained optimization or preference tuning (e.g. RLHF, DPO)
Experience with online reinforcement learning or interactive learning (e.g. DAgger)

Company

Aurora Operations Inc

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Source: ashby

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Remote-friendly

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