Senior Machine Learning Engineer, Simulation Realism

Waymo; Mountain View (CA); On-site; USD 204,000 - 259,000; Full time

Job summary

An established industry player in autonomous driving technology seeks a skilled Machine Learning Engineer. In this hybrid role, you'll join a world-class team dedicated to creating ultra-realistic simulations for self-driving vehicles. Your deep expertise in machine learning, particularly in Generative AI, will be pivotal in advancing simulation realism. Collaborating closely with foundational AI researchers, you'll transform cutting-edge research into production-ready solutions. This position offers a chance to make a significant impact in the field of autonomous driving while enjoying a competitive salary and comprehensive benefits package.

Benefits

Discretionary annual bonus program

Equity incentive plan

Generous company benefits program

Qualifications

• 5+ years of experience in ML software engineering.
• Proficient in Python and ML frameworks like Pytorch and Tensorflow.

Responsibilities

• Develop ultra-realistic world simulation technologies for autonomous vehicles.
• Collaborate with AI research teams to implement scalable solutions.

Skills

Machine Learning

Python

Generative AI

Pytorch

Tensorflow

C++

Jax/Flax

Job description

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Simulator Team at Waymo builds simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of software engineers, machine learning (ML) engineers, and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundation models trained on our datasets and diffusion technology. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Staff Tech Lead Manager.

You will:

• Join our world-class research engineering team and drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
• Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
• Work in close collaboration with Waymo's foundational AI research team to transfer State-of-The-Art research into scalable and production-ready solutions.

You have:

• 5+ years of experience with ML software engineering.
• 5+ years of experience with Python.
• ML software experience with machine learning frameworks including Pytorch, Tensorflow, Jax/Flax.

We prefer:

• 5+ years of experience including working with creating and developing ML models for robotics and self-driving vehicles.
• 5+ years of experience with C++ in a production setting, with experience integrating ML models in production systems.
• 5+ years of experience training large-scale models on GPU/TPU clusters.

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. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

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.

Salary Range: $204,000 — $259,000 USD.