Senior ML Engineer - Autonomous Vehicles, Equity Eligible

Waymo; Mountain View (CA); On-site; USD 213,000 - 263,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive plan

Generous company benefits

Job summary

Waymo is recruiting for a Machine Learning role within the Predictive Planning team. You will tackle real-world ML/engineering problems, design and deploy models on production vehicles, and collaborate across researchers and engineers to ensure safe, smooth planning for road users.

A strong foundation in DL libraries and Python/C++ is required, with 4+ years in ML or AV systems. The role emphasizes contributing to a robust planning stack and data-driven decision making within Waymo's advanced

Qualifications

• Bachelor's degree in Computer Science, ML, Robotics or equivalent practical experience.
• Hands-on experience with modern deep learning libraries (TensorFlow, JAX, PyTorch).
• Proficient programming skills (Python, C/C++).
• Strong analytical and problem solving skills.
• 4+ years of experience in ML modeling and/or Autonomous Vehicles systems.

Responsibilities

• Tackle challenging real-world problems with ML and engineering solutions.
• Design and build ML models and deploy them on production vehicles.
• Design architectures, pipelines and evaluation systems on Google's data infrastructure.
• Collaborate with researchers, product area owners and engineers to develop safe, smooth planning behavior.

Skills

TensorFlow

JAX

PyTorch

Python

C/C++

ML modeling

Autonomous Vehicles

Education

Bachelor's in CS/ML/Robotics

Job description

Waymo is recruiting for a Machine Learning role within the Predictive Planning team. You will tackle real-world ML/engineering problems, design and deploy models on production vehicles, and collaborate across researchers and engineers to ensure safe, smooth planning for road users.

A strong foundation in DL libraries and Python/C++ is required, with 4+ years in ML or AV systems. The role emphasizes contributing to a robust planning stack and data-driven decision making within Waymo's advanced