Senior ML Engineer, Simulation Eval — Realism in 3D World

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

Benefits offered by this job

Annual bonus program

Equity incentive plan

Generous benefits program

Job summary

Waymo in San Francisco is looking for a Machine Learning Engineer to pioneer evaluation systems for its autonomous simulation technology. The role focuses on developing and deploying innovative evaluation approaches to assess realism in multimodal world models.

The ideal candidate will have at least five years of experience in machine learning, proficient programming skills in Python, and hands-on experience with frameworks like Jax and PyTorch. A generous salary range of $213,000—$263,000 is offered, alongside numerous company benefits.

Qualifications

• 5+ years of experience in machine learning engineering or applied deep learning.
• Proficient programming skills in Python.
• Experience with modern ML frameworks.

Responsibilities

• Lead design and development of evaluation approaches for simulation.
• Architect scalable machine learning pipelines.
• Collaborate with teams on advancements in world modeling.

Skills

Machine Learning Engineering

Deep Learning

Python

Evaluation Frameworks

Generative AI

Education

Bachelor's, Master's, or PhD in computer science, machine learning, robotics

Tools

Jax

Flax

PyTorch

C++

Job description

Waymo in San Francisco is looking for a Machine Learning Engineer to pioneer evaluation systems for its autonomous simulation technology. The role focuses on developing and deploying innovative evaluation approaches to assess realism in multimodal world models.

The ideal candidate will have at least five years of experience in machine learning, proficient programming skills in Python, and hands-on experience with frameworks like Jax and PyTorch. A generous salary range of $213,000—$263,000 is offered, alongside numerous company benefits.