Staff ML Engineer: World Modeling & Simulation (Equity)

Waymo LLC

Mountain View (CA)

Remote

USD 251,000 - 310,000

Full time

14 days+

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Benefits offered by this job

Discretionary annual bonus
Equity incentive plan
Generous benefits

Job summary

Waymo LLC is advancing its Simulator Team, building state-of-the-art generative and physical world models for autonomous driving. The role shapes the technical roadmap, leads large-scale pre-training, and drives alignment and deployment across onboard perception and planning teams.

Ideal candidates will have deep expertise in 3D/4D vision, distributed ML, and production-grade systems, with a track record of leading complex ML architectures at scale.

Qualifications

  • PhD or MS in CS/ML/Robotics or equivalent research track record.
  • Extensive experience with large-scale generative and physical world models.
  • Strong background in 3D/4D vision and world modeling.

Responsibilities

  • Own the Architectural Roadmap for 4D world modeling and tokenizers.
  • Lead Large-Scale Pre-Training across distributed clusters.
  • Drive Post-Training & Alignment with SFT and RLAIF.
  • Integrate multimodal signals across Camera, LiDAR, Radar.
  • Optimize production deployment and serving for 10 Hz validation.
  • Collaborate with Onboard Perception, Planner, and AI Foundation labs.
  • Mentor engineers and uphold high engineering standards.

Skills

Python
Distributed ML frameworks
TPU/GPU clusters
3D/4D vision understanding

Education

PhD or MS in CS/ML/Robotics/CV

Tools

JAX/Flax
PyTorch
Megatron-LM
Pathways/DeepSpeed

Job description

Waymo LLC is advancing its Simulator Team, building state-of-the-art generative and physical world models for autonomous driving. The role shapes the technical roadmap, leads large-scale pre-training, and drives alignment and deployment across onboard perception and planning teams.

Ideal candidates will have deep expertise in 3D/4D vision, distributed ML, and production-grade systems, with a track record of leading complex ML architectures at scale.

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