Senior LLM/VLM Engineer — Perception for Autonomous Driving

Waymo; California (MO); On-site; USD 204,000 - 259,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive

Comprehensive benefits

Job summary

Waymo is seeking a senior ML engineer to design and pre-train large-scale models for autonomous driving applications. You will build continual pre-training pipelines, evaluate LLM/VLM models, and translate research into production systems across US locations. 5+ years in ML, strong Python, and deep learning frameworks required; master's or PhD preferred.

The role offers a competitive base salary, bonus eligibility, equity, and comprehensive benefits.

Qualifications

• 5+ years of ML experience with large-scale models.
• Strong Python and DL framework proficiency.
• Master's degree or PhD in CS/EE or related field.

Responsibilities

• Design, implement, and optimize pre-training pipelines for LLM/VLM models.
• Research novel pre-training techniques and validate on multimodal data.
• Deploy models in production and monitor performance.
• Stay current with state-of-the-art AI research and translate into production.

Skills

LLM/VLM experience

Continual pre-training

Python

Research

Production deployment

Education

Master's degree or PhD

Tools

Jax

TensorFlow

PyTorch

Job description

Waymo is seeking a senior ML engineer to design and pre-train large-scale models for autonomous driving applications. You will build continual pre-training pipelines, evaluate LLM/VLM models, and translate research into production systems across US locations. 5+ years in ML, strong Python, and deep learning frameworks required; master's or PhD preferred.

The role offers a competitive base salary, bonus eligibility, equity, and comprehensive benefits.