Staff ML Engineer: Vision-Language Foundations & Data-Flywheel

Waymo

Mountain View (CA)

On-site

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 Company benefits program

Job summary

Waymo, a leader in autonomous driving technology, seeks a senior leader to drive large-scale multimodal model development. You will guide pre-training, data curation, and extensive post-training improvements to enhance reasoning and safety.

Your role includes architecting scalable training pipelines and mentoring engineers across ML Infra, Perception, and AI Foundations teams. You will shape long-term roadmaps, influence architecture, and push the boundaries of foundation models to support Waymo

Qualifications

  • Master’s degree in CS/AI/ML or related field.
  • 8+ years designing and scaling deep learning models.
  • 3+ years focused on LLMs or VLMs.
  • Experience with foundation models from pre-training to post-training.
  • Strong software engineering fundamentals for scalable ML systems.

Responsibilities

  • Drive pre-training & data strategies for multimodal models.
  • Lead post-training & RLHF/RLAIF pipelines to improve reasoning.
  • Architect scalable inference and evaluation for Gemini-class models.
  • Define training recipes and scaling laws for large clusters.
  • Lead cross-functional AI strategy across multiple teams.
  • Provide staff-level technical leadership and mentorship.

Skills

LLM training
VLM training
Large-scale training
Python
PyTorch
JAX
Distributed training
Leadership

Education

Master’s degree in Computer Science/AI/ML
PhD preferred

Tools

Python
PyTorch
JAX
Megatron
FSDP

Job description

Waymo, a leader in autonomous driving technology, seeks a senior leader to drive large-scale multimodal model development. You will guide pre-training, data curation, and extensive post-training improvements to enhance reasoning and safety.

Your role includes architecting scalable training pipelines and mentoring engineers across ML Infra, Perception, and AI Foundations teams. You will shape long-term roadmaps, influence architecture, and push the boundaries of foundation models to support Waymo

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