Senior Machine Learning Engineer, Simulation Evaluation

Waymo LLC; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

Waymo LLC seeks a Senior Machine Learning Engineer to lead evaluation approaches for multimodal world models in autonomous driving simulations. You will design and implement evaluation frameworks to assess realism and orchestrate scalable ML pipelines, collaborating with research teams to integrate cutting-edge advancements into production systems.

You will mentor team members, guiding architectural decisions and ensuring that evaluation approaches support Waymo's mission to improve autonomous

Qualifications

• Strong background in ML engineering and generative models, especially in simulation contexts.
• Experience with complex evaluation metrics.
• Ability to mentor team members and guide architectural decisions.

Responsibilities

• Design and implement evaluation frameworks to assess realism of multimodal world models and generative systems.
• Architect scalable machine learning pipelines.
• Collaborate with research teams to integrate advancements into production systems.
• Lead evaluation approaches aligned with improving autonomous driving safety and efficiency.

Skills

ML engineering

Generative models

Evaluation frameworks

Production systems

Mentorship

Job description

Waymo seeks a Senior Machine Learning Engineer to lead evaluation approaches for multimodal world models in autonomous driving simulations. Ideal candidates have strong backgrounds in ML engineering and generative models, especially in simulation contexts.

In this role, you will design and implement evaluation frameworks to assess the realism of multimodal world models and generative systems used in Waymo's autonomous driving simulations. Your work will involve architecting scalable machine learning pipelines and collaborating with research teams to integrate cutting-edge advancements into production systems.

Success in this position requires a deep understanding of generative models and experience with complex evaluation metrics. You will also mentor team members, guiding them in architectural decisions and execution, while ensuring that the evaluation approaches align with the overall mission of improving autonomous driving safety and efficiency.