Назад
7 дней назад

Staff Tech Lead, Perception, Fine-Tuning & Model Releases (AI)

238 000 - 302 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Tech Lead, Perception, Fine-Tuning & Model Releases (AI): Leading fine-tuning, distillation, and production releases of multi-billion-parameter perception models for autonomous driving with an accent on multi-task learning, model optimization, and real-world system integration. Focus on designing scalable ML methods, replacing deployed models safely, and driving technical roadmaps, staffing, and delivery for complex perception projects.

Location: On-site locations in Mountain View or San Francisco, California; the role is described as hybrid.

Salary: $238,000–$302,000 USD annually, plus discretionary annual bonus, equity incentives, and company benefits.

Company

Waymo develops autonomous driving technology and the Waymo Driver for fully autonomous ride-hail services and other vehicle platforms.

What you will do

  • Lead multi-task fine-tuning and production release of multi-billion-parameter perception models.
  • Design and implement ML methods to distill multiple expert models into a single multi-task model.
  • Manage releases that replace deployed models used by large numbers of customers.
  • Develop technical roadmaps, define team OKRs, and drive execution against delivery plans.
  • Make staffing and technical decisions, manage escalations, and remain accountable for project delivery.

Requirements

  • Bachelor’s degree in Computer Science or a similar discipline, or equivalent deep learning experience.
  • 5+ years of experience in machine learning and/or computer vision.
  • Experience with Python.
  • Experience with ML frameworks such as PyTorch or JAX.
  • Ability to work in the specified California locations and hybrid role structure.

Nice to have

  • Master’s or PhD in Machine Learning, Robotics, Computer Science, or a similar discipline.
  • Publications at top-tier conferences such as CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI.
  • Experience with C++ and real-time system design.

Culture & Benefits

  • Access to large-scale real-world driving data from diverse sensors.
  • Collaboration with downstream engineering teams and Alphabet research teams.
  • Work on models for onboard and offboard autonomous-driving hardware.
  • Eligibility for annual bonus, equity incentive plan, and company benefits.

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