Staff Machine Learning Engineer, Simulation

📋 Description

• Lead design, development and deployment of world models for large-scale simulation.
• Develop generative pipelines for high-fidelity synthetic datasets using diffusion.
• Partner with Alphabet researchers to integrate advanced modeling techniques.
• Champion sim-to-real with domain adaptation and transfer learning.
• Apply VLMs to enhance world simulation understanding and control.
• Shape AI infra, establish best practices for large-scale training.

🎯 Requirements

• 12+ years in ML, autonomous systems, or simulation.
• PhD/MS/BS in CS, ML, robotics, or related field.
• Proven ability to lead ML projects from research to production.
• Deep expertise in 3D World Modeling or 3D Computer Vision.
• Experience with sim-to-real transfer and domain adaptation.
• Experience building testing frameworks for edge cases.