Staff TLM, Perception, Fine-Tuning & Model Releases

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

• Lead the multi-task fine-tuning of multi-billion parameter models, and its release to production
• Lead the design and implementation of ML methods for distilling multiple expert models into one multi-task model
• Managed releases of multi-billion parameter models replacing a deployed model used by thousands or millions of customers 
• Build resilient and high performing teams through people development and hiring,
• Contribute to the development of technical roadmaps, (defining team OKRs, developing believable plans to achieve the OKRs), and drive the roadmap execution
• Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects

You have:

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 5+ years experience in Machine Learning and/or Computer Vision
• 2+ year in managing ML engineering or research teams
• Experience with Python
• Experience with ML frameworks like PyTorch or JAX

We Prefer:

• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
• Experience with C++
• Experience with real-time system design