Senior Staff Machine Learning Engineer (Ai)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Staff Machine Learning Engineer (AI): Developing machine learning algorithms for onboard and offboard autonomy and validation, focusing on scene understanding and evolving scenes. Focus on multi-modal foundation models, generative AI for simulation, and collaboration with Prediction, Planning, and Simulation teams to solve complex urban autonomous driving problems.
Location: Foster City, CA
Salary: $277,000 - $389,000 a year
Company
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
What you will do
- Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time
- Build multi-modal foundation models for on-vehicle and offline applications
- Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems
- Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
- Provide technical mentorship to the broader group of ML developers
- Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Requirements
- BS, MS, or PhD degree in computer science or related field
- Experience with training and deploying Deep Learning models on sensor data
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern computer vision techniques
- Strong mathematical skills and understanding of probabilistic techniques
- Fluency in C++ or Fluency in Python with a basic understanding of C++
Nice to have
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with autonomous robots
- Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with 3D data and representations (pointclouds, meshes, etc.)
Culture & Benefits
- 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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