Senior/Staff Machine Learning Engineer - Prediction & Behavior ML - Zoox

Job Title: Senior/Staff Machine Learning Engineer - Prediction & Behavior ML
Job Location: Boston, MA
Job Listing URL: https://jobs.lever.co/zoox/3e8969aa-9ba7-42f9-8639-72bb2d93c657
Job Description: The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the full scene around our vehicle and forecast the behavior for other agents, our own vehicle’s actions, and for offline applications. To solve these problems we develop deep learning algorithms that can learn behaviors from data and apply them on-vehicle to influence our vehicle’s driving behavior and offline to provide learned models to autonomy simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team in the advancement of our overall vehicle behavior. The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives.
In this role, you will:
Develop new algorithms to model the future behavior of all other agents in the world
Develop new algorithms to model the future behavior of our own vehicle’s future actions, both in predicting our driving trajectories and estimating their quality in relation to our goals of safety, progress, and comfort
Develop new algorithms to apply generative deep learning to simulation to improve the realism of our offline validation systems
Build the foundation models for the on-vehicle and offline applications
Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
Develop metrics and tools to analyze errors and understand improvements of our systems
Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
BS, MS, or PhD degree in computer science or related field
Experience with training and deploying Deep Learning models
Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
Fluency in C++ or Fluency in Python with a basic understanding of C++
Extensive experience with programming and algorithm design-Strong mathematics skills
Bonus Qualifications
Conference or Journal publications in Machine Learning or Robotics related venues
Prior experience with Prediction and/or autonomous vehicles or robotics in general

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