Back

Senior/Staff Machine Learning Engineer - Motion Planning

Foster City, CA
23 days ago
Full time role

Company

Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on ...

View Company Profile

Job Description

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.

Responsibilities

  • 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

Qualifications

  • 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 sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
  • 8+ years of experience in a related field

Bonus Qualifications

  • 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

CompensationThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 to $303,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Vaccine MandateEmployees 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 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.
About ZooxZoox 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.
Follow us on LinkedIn
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.

Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on ...

View Company Profile