ML Engineer, Foundation Models — Embodied AI (Hybrid)

Waymo; New York (NY); Hybrid; USD 175,000 - 215,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity incentive program

Generous benefits package

Job summary

Waymo AI Foundations invites a talented researcher to advance robotics and machine learning for embodied AI agents. You will work across teams to translate cutting-edge research into practical, scalable solutions that improve safety and realism in Waymo’s autonomous systems.

The role emphasizes collaboration, data-driven development, and building robust evaluation pipelines, with opportunities to publish and contribute to industry-leading projects within a hybrid work environment.

Qualifications

• Master's degree in CS/ML/Robotics or equivalent practical experience.
• Proficiency in Python.
• Familiarity with one modern DL framework (e.g. PyTorch/JAX/TF).
• Prior work in industry or research developing ML recipes.

Responsibilities

• Develop and extend cutting‑edge research in robotics and ML to advance state‑of‑the‑art recipes for embodied AI.
• Partner within and across organizations to land disruptive tech in production.
• Work with a variety of state‑of‑the‑art Foundation Models.
• Drive model development via data, evaluation, and systems.

Skills

Python

DL Frameworks

Research experience

Distributed pipelines

Education

Master's degree in CS/ML/Robotics

Job description

Waymo AI Foundations invites a talented researcher to advance robotics and machine learning for embodied AI agents. You will work across teams to translate cutting-edge research into practical, scalable solutions that improve safety and realism in Waymo’s autonomous systems.

The role emphasizes collaboration, data-driven development, and building robust evaluation pipelines, with opportunities to publish and contribute to industry-leading projects within a hybrid work environment.