Machine Learning Engineer, Driver Refinement & Validation, Perception

Waymo LLC; Mountain View (CA); Hybrid; USD 175,000 - 215,000; Full time

Benefits offered by this job

Annual bonus program

Equity incentives

Company benefits

Job summary

Waymo LLC in Mountain View, CA, is hiring for a hybrid ML role focused on the Waymo Driver. You will own tasks in ML Driver, analyze real-world behavior, and develop scalable methods and recipes to improve models. The role requires a CS degree and 3+ years of ML/CV experience, with Python or C++ and PyTorch/JAX proficiency.

We offer a base salary and bonus/equity programs in a supportive team environment. This full-time hybrid position reports to a Technical Lead Manager and involves

Qualifications

• Bachelor's in CS or equivalent deep learning experience.
• 3+ years of ML/Computer Vision experience.
• Experience with Python or C++.
• Experience with ML frameworks like PyTorch or JAX.

Responsibilities

• Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasks.
• Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
• Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
• Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
• Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

Skills

Python

C++

Machine Learning

Computer Vision

PyTorch

JAX

Education

Bachelor's degree in Computer Science or equivalent

MS or PhD in ML/Robotics/CS

Tools

PyTorch

JAX

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Our goal is to improve the Waymo Driver performance by owning the end-to-end driving behavior for various onroad problems clusters. We work with upstream and the downstream teams on developing the ML models and integrating into the Waymo Driver. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role, you will report to a Technical Lead Manager.

You will

• Own tasks in the ML Driver, take responsibility for task performance, create ML methods and recipes to scale and improve tasks.
• Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions.
• Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
• Monitor ML systems in production, develop methods for automatically detecting issues or regressions, develop AI-aided analysis and debugging tooling.
• Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

You have

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience in Machine Learning and/or Computer Vision
• Experience with Python or C++
• Experience with ML frameworks like PyTorch or JAX

We prefer

• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI

Salary Range

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

$175,000—$215,000 USD

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.