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Senior​/Software Engineer - Prediction Machine Learning Engineer

Job in Foster City, San Mateo County, California, 94420, USA
Listing for: jobs.frontdoordefense.com - Jobboard
Full Time position
Listed on 2026-05-26
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer, AI Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 221000 - 319000 USD Yearly USD 221000.00 319000.00 YEAR
Job Description & How to Apply Below
Position: Senior/Staff Software Engineer - Prediction Machine Learning Engineer

Senior/Staff Software Engineer - Prediction Machine Learning Engineer Develop new algorithms to model the future behavior of all other agents in the world.

Location:

Foster City, California, United States

Compensation: $221,000 to $319,000 USD per year

Job Tags:
Software

About

The Role

Senior/Staff Software Engineer - Prediction Machine Learning Engineer

Foster City, CA

Software – Prediction / Full-time / Hybrid

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
Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job‑related knowledge, skills, and experience.

Zoox also offers a 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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Position Requirements
10+ Years work experience
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