Senior/Staff Machine Learning Engineer (Reinforcement Learning, Motion Planning)
PlusAI
- Santa Clara, United States
- Lead/Staff
- Master's degree
- Posted
Skills
Required
- Machine Learning
- reinforcement learning
- Robotics
- C/C++
- Python
- machine learning frameworks
- PyTorch
Preferred
- planning
- high-throughput
- batched driving simulators
- GPUDrive
- PufferDrive
- sim-to-real
- autonomous driving
Join our team as a Senior/Staff Machine Learning Engineer specializing in Reinforcement Learning and Motion Planning. In this role, you will design, develop, and deploy learned behavior planning models, own the end-to-end Reinforcement Learning pipeline, and contribute to our Reinforcement Learning Infrastructure.
Responsibilities
- You will collaborate with simulation and planning teams to deploy learned behavior planning models to driving pipelines.
- Enjoy benefits such as unlimited PTO, flexible working arrangements, health benefits, equity options, professional development opportunities, and daily catered lunches.
- Concevoir, développer et déployer des modèles de planification de comportement appris en utilisant des approches telles que l'apprentissage par renforcement.
- Posséder l'ensemble du pipeline d'apprentissage par renforcement, de la construction de l'environnement à l'entraînement et à la modélisation.
- Collaborer avec les équipes de simulation et de planification pour déployer des modèles de planification de comportement appris.
Requirements
- MS or PhD in Computer/Software Engineering, Robotics, Machine Learning or related field
- Experience developing production code in C/C++ and Python
- Experience with machine learning frameworks such as PyTorch
- Strong oral and written communication skills
- Experience with reinforcement learning
- Experience with self-play reinforcement learning
Preferred
- Experience with high-throughput batched driving simulators such as GPUDrive and PufferDrive
- Experience with sim-to-real in the context of robotics / autonomous driving
- Prior experience in learned behavior planning / prediction for autonomous vehicles
Pay
USD 130,000 - 220,000
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