You will:- Prototype learning-based behavior policies
- Integrate multi-modal perception semantics
- Build simulation benchmarks/counterfactual suites
- Inspect 3D driving trajectories
You have:- Currently pursuing a PhD in CS/Robotics/ML
- Experience in RL/Imitation learning/trajectory forecasting
- Proficiency in Python/PyTorch/JAX/TF
- Software skills in C++ or Python
We prefer:- Top publications (CoRL, RSS, ICRA, etc.)
- Transformer trajectory generation
- Autonomous simulation frameworks
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85-$85 USD
