Staff Technical Lead Manager (Perception, Fine-Tuning & Model Releases)

Responsibilities 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 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 Qualifications 2+ years in managing ML engineering or research teams Experience with Python 5+ years experience in Machine Learning and/or Computer Vision Experience with ML frameworks like PyTorch or JAXB Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience 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 Benefits Medical, dental, and vision insurance for employees and dependents Employee assistance programs focused on mental health Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations Access to mental health apps Onsite wellness centers Second medical opinion for you and your loved ones Medical advocacy program for transgender employees Support programs including menopause benefit Counseling services Competitive compensation Regular bonus and equity performance grant opportunities Generous 401(k) and regional retirement plans 1-on-1 financial coaching Annual cross-company compensation review and pay equity analysis Fertility and growing family assistance Parental leave and baby bonding leave Survivor income benefit Backup childcare Elder care and support Caregiver leave Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays Jury duty leave Military leave Hybrid work model with remote work opportunities also available Educational reimbursement Peer learning and coaching platform Donation matching programs Volunteer hours Employee resource groups Internal community groups and local culture clubs Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts On-site meals and snacks Fitness centers, massage programs, and ergonomic support On-demand fitness, wellbeing, and cooking classes Commuter benefits #J-18808-Ljbffr Waymo