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Machine Learning Engineer - Prediction and Planning
- Foster City, California, United States
- Foster City, California, United States
À propos
As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.
In this role, you will:
Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle.
You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance.
Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
Develop metrics and tools to analyze errors and understand improvements of our systems
Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field.
Experience in Planning and / or Prediction using Reinforcement Learning techniques
Experience with training and deploying transformer-based model architectures
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency in C++ or Fluency in Python with a basic understanding of C++
Bonus Qualifications
Top tier publications (NeurIPS, ICML, CVPR)
$214,000 - $257,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
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.
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Compétences linguistiques
- English
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