Senior/Staff Software Engineer - Prediction Machine Learning Engineer - Zoox

Job Title: Senior/Staff Software Engineer - Prediction Machine Learning Engineer
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 learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.

As a Prediction Machine Learning Engineer you will be responsible for developing machine learned models to predict the behavior of other agents in the world.
In this role, you will:
You will develop new algorithms to model the future behavior of all other agents in the world
You will leverage 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, 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 transformer-based model architectures
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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