Zoox’s Planner Machine Learning team is applying leading edge ML to solve the difficult problems in motion planning.
The Planner ML team is looking for ML engineers to build the ML models and integrate ML models to the planning system to improve the overall performance of the autonomous driving system.
Research, design, implement, optimize and deploy deep learning models that advance the state of the art in planning and control, for autonomous driving
Leverage fleet data and state-of-the-art techniques in ML
Implement software that runs on-vehicle to efficiently execute our algorithms in real time
Develop metrics and tools to analyze errors and understand improvement of system performance
Advanced degree in Computer Science, Robotics, Physics, similar field(s) of study, or equivalent practical knowledge
Expertise in building deep learning systems with Python
Programming experience implementing cutting-edge DeepLearning ML solutions using Tensorflow / PyTorch
Strong understanding of ML workflows: data samping and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
Experience working on self-driving problems (Perception, Prediction, Planning, Simulation)
Experience in Imitation, RL (especially offline/off-policy), modern NN architectures (such as GPT) or related techniques
Experience with C++
Experience with CUDA
Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine by the earlier of (1) April 15 or (2) within two months of becoming eligible for the booster vaccine.
Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.