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Machine Learning Engineer - ML Agents and Planning

Zoox

Foster City, CAJob$189–270K/yrPosted 1mo agoVerified open 5 days ago
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At a glance

Compensation
$189–270K/yr
Location
Foster City, CA
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Zoox is hiring a Machine Learning Engineer - ML Agents and Planning. The Offline Driving Intelligence team develops foundation models for ML agents and planning, applying them off‑vehicle to enhance simulation and validation. The ML Agents and Planning Machine Learning Engineer will create novel deep‑learning pipelines and models to predict other agents’ behavior and plan optimal actions for the ego vehicle, collaborating with perception, planning, simulation, and validation teams.

Key focus areas include Develop new deep learning models using imitation and reinforcement learning to generate human‑like driving plans., Work on novel techniques to estimate driving‑plan quality across safety, progress, comfort, and realism dimensions., and Contribute to large‑scale machine learning infrastructure to discover new solutions and push field boundaries..

Successful candidates bring PhD In Computer Science Or Related Field, Master's Degree, and 5+ Years Professional Experience In Relevant Field. Important skills include Imitation Learning, Reinforcement Learning, Transformer-Based Model Architectures, Dataset Creation, Training Frameworks, and Metrics Pipelines. Preferred (not required): NeurIPS Publications, ICML Publications, and CVPR Publications.

Skills & qualifications

RequiredNice to have

Skills

Imitation LearningReinforcement LearningTransformer-Based Model ArchitecturesDataset CreationTraining FrameworksMetrics PipelinesPythonC++Deep Learning ModelsLarge-Scale Machine Learning InfrastructureDevelop Metrics and ToolsCollaborate With EngineersNeurIPS PublicationsICML PublicationsCVPR Publications

Qualifications

PhD in Computer Science or Related FieldMaster's Degree5+ Years Professional Experience in Relevant FieldExperience in Planning and/or Prediction Using Reinforcement Learning TechniquesExperience With Training and Deploying Transformer-Based Model ArchitecturesExperience With Production Machine Learning Pipelines

Benefits

Paid Time Off
Medical Insurance

Full job description

The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents 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...

  • You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents.
  • You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.
  • You will contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • You will develop metrics and tools to analyze errors and understand improvements of our systems
  • You will collaborate with engineers on Perception, Planning,Simulation, and Validation to solve the overall Autonomous Driving problem. Qualifications
  • PhD degree in computer science or related field or master's degree and 3+ years 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 Python with a basic understanding of C++ Bonus Qualifications
  • Top tier publications (NeurIPS, ICML, CVPR) 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. 189000 - 270000 USD a year

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Machine Learning Engineer - ML Agents and Planning | Olive Jobs