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  • Emplois similaires à : Principal Machine Learning Engineer - Perception
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Machine Learning Engineer - PerceptionZoox • Seattle, Washington, United States
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Machine Learning Engineer - Perception

Zoox
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Postuler Maintenant

À propos

The Perception team at Zoox is at the forefront of leveraging GenAI to create synthetic data, unlocking scalable training and evaluation for our autonomous system's perception and entire stack. As a Generative AI Engineer, you will develop and train cutting‑edge models for sensor‑level scenario generation, utilizing world models and radiance fields techniques with large-scale proprietary data. This role directly impacts the productivity, safety, and capabilities of Zoox's autonomous system by validating algorithms in real‑world conditions.
Compensation $189,000 - $258,000 a year
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.
Benefits
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
Life insurance
About Zoox 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.
Responsibilities
Design, develop, train and evaluate multi‑sensor fusion based deep learning models to understand obstacles and environmental context
Understand and curate real and synthetic datasets to improve our models
Perform latency optimization and deploy models to our robot fleet
Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work
Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenario
Qualifications
MS or PhD in Computer Science, Machine Learning, or related technical field with 5+ years of industry experience
Proficiency in Python and some knowledge in C++
Deep Learning expertise
Experience developing multi‑sensor fusion algorithms for object detection, panoptic segmentation or object tracking
Familiar with Transformer architecture
Bonus Qualifications
Publications in top‑tier conferences (CVPR, ICCV, RSS, ICRA)
Experience with autonomous robotics systems
Experience implementing 3D Gaussian Splatting
Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
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.
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  • Seattle, Washington, United States

Compétences linguistiques

  • English
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