Staff Machine Learning Engineer, Simulation Realism

Waymo; Mountain View (CA); Hybrid; USD 251,000 - 310,000; Full time

Benefits offered by this job

Annual bonus

Equity incentive

Benefits program

Job summary

Waymo's Simulation Team seeks an experienced ML/CV specialist to enhance labeled data from multi-modal sensors for high-fidelity simulations. You will develop models to improve perception data and work with perception and simulation squads to elevate data quality.

Requirements include a CS degree and 5+ years in DL/ML, with strong CV or sensor fusion background. Preference for a PhD and AV sensor data familiarity. Compensation reflects a base range across US locations and bonus potential.

Qualifications

• MS or BS in Computer Science or a related field.
• 5+ (L5) / 7+ (L6) years of applied Deep Learning/ML experience.
• Strong background in computer vision, sensor fusion, or perception.
• PhD degree is preferred.

Responsibilities

• Apply ML expertise to enhance data quality for multi-modal sensor data used in simulation.
• Develop and implement models to identify and correct issues in perception-based data for simulation.
• Analyze data quality, investigate anomalies, and drive improvements in data labeling pipelines.
• Collaborate with perception and simulation teams to refine data requirements and quality standards.
• Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation.

Skills

Deep Learning

Machine Learning

Python

Computer Vision

Sensor Fusion

Perception

Education

MS or BS in Computer Science or related field

PhD preferred

Tools

TensorFlow

PyTorch

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.

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.

The Simulation Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is 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.

A key aspect of our simulation effort is the generation of foundational data that enables realistic simulation and trustworthy evaluations. This involves producing high-fidelity world representations from complex, large-scale multi-modal sensor datasets. Key challenges we tackle include guaranteeing the highest levels of quality and accuracy in these datasets. We are also constantly innovating to build scalable and efficient systems to manage the sheer volume and intricacy of this data.

In this hybrid role, you will report to a Sr Staff TLM.

You will:

• Apply ML expertise to enhance the quality and accuracy of labeled data derived from multi-modal sensors.
• Develop and implement models to identify and correct issues in perception-based data for simulation.
• Analyze data quality, investigate anomalies, and drive improvements in our data labeling pipelines.
• Collaborate with perception and simulation teams to refine data requirements and quality standards.
• Lead efforts to address complex data quality challenges and define ML strategies for high-fidelity data generation.

You have:

• MS or BS in Computer Science or a related field.
• 5+ (L5) / 7+ (L6) years of experience in applied Deep Learning/Machine Learning.
• Strong background in computer vision, sensor fusion, or perception.
• Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with data analysis and quality assessment.
• Strong coding and design skills.

We prefer:

• PhD degree in Computer Science or a similar discipline.
• Experience with autonomous vehicle sensor data.
• Familiarity with data labeling processes and challenges.
• Experience taking ML models from research to production.

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

$251,000—$310,000 USD