Senior / Staff Machine Learning Engineer - ML Agents and Planning
Key Skills for This Role
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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 and 4+ years of professional experience or master's degree and 5+ 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)
About Zoox
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
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