Senior ML Engineer, Autonomy & Planning Systems

Waymo; San Francisco (CA); On-site; USD 213,000 - 263,000; Full time

Benefits offered by this job

Equity incentive

Discretionary annual bonus

Company benefits

Job summary

Waymo is seeking a skilled ML Engineer to advance the Waymo Driver by building and deploying state‑of‑the‑art models on production vehicles. You will design architectures, pipelines, and evaluation systems using large‑scale data on Google's infrastructure.

The role emphasizes collaboration with researchers, product owners, and engineers to ensure safe, efficient planning for all road users. A strong CS/ML background and 4+ years in ML or AV systems are required.

Qualifications

• Bachelor's degree or equivalent in a technical field (CS/ML/Robotics).
• 4+ years of experience in ML modeling or autonomous systems.
• Hands-on experience with modern DL libraries (TensorFlow, JAX, PyTorch).

Responsibilities

• Tackle real‑world ML and engineering problems for Waymo Driver.
• Design and build ML models and deploy them on production vehicles.
• Architect pipelines, systems, and evaluation methods on large data infrastructure.
• Collaborate with researchers and engineers to ensure safe, smooth planning.

Skills

Analytical thinking

ML modeling

Collaboration

Education

Bachelor's degree in CS/ML/Robotics or related field

MS or PhD in CS/ML/Robotics (preferred)

Tools

TensorFlow

JAX

PyTorch

Python

C/C++

Job description

Waymo is seeking a skilled ML Engineer to advance the Waymo Driver by building and deploying state‑of‑the‑art models on production vehicles. You will design architectures, pipelines, and evaluation systems using large‑scale data on Google's infrastructure.

The role emphasizes collaboration with researchers, product owners, and engineers to ensure safe, efficient planning for all road users. A strong CS/ML background and 4+ years in ML or AV systems are required.