Machine Learning Engineer (Behavior Models for Road Users)

Description du poste

This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians. These agents populate Zoox’s simulations and must be indistinguishable from real road users, yet fully controllable: promptable into the rare, adversarial, safety-critical behaviors we need to test against This means the team’s models directly impact how fast Zoox can train, validate and ship its driving stack. Our team collaborates closely with Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents 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 Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like driving agents Work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism Build generative behavior models (e.g. autoregressive, diffusion) that are conditionable on scenario intent — “cut off the ego vehicle,” “jaywalk here” — for targeted stress-testing Leverage our compute, infrastructure and large corpus of data to push boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, Simulation, and Validation to solve the overall Autonomous Driving problem Benefits Paid parental leave Affinity groups and sports clubs Work from home opportunities Health insurance Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away We invest in our crew—and their families—for the long term. That inc

Annonce publiée sur Welcome to the Jungle et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.