Senior Staff Technical Lead Manager (Perception, Object Detection)
Waymo
Requirements 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
- 3+ year in managing ML engineering or research teams
- Experience with Python
- Experience with ML frameworks like PyTorch or JAX
- (Desirable) MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
- (Desirable) Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
- (Desirable) Experience with C++
- (Desirable) Experience with real-time system design
- 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
- Own object detection quality, work with product and safety partners on short- and long-term improvement goals in support of Waymo’s scaling goals
- Develop and execute technical roadmaps to achieve object detection quality goals
- Leads the analysis of real-world object detection issues, and develops technical requirements for improving object detection quality
- 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
Vacancy posted 5 days ago
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