- Страна
- США
- Зарплата
- 241 000 $ – 306 000 $
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Senior Product Manager, AI Data Mining
Исключительная вакансия в одной из самых передовых технологических компаний мира с очень высокой компенсацией и возможностью работать над технологиями будущего.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких технических знаний в области Foundation Models и распределенных систем, а также опытом работы с 'moonshot' проектами в сфере робототехники или беспилотников.
Анализ зарплаты
Предлагаемая зарплата ($241k - $306k) находится на верхней границе рынка для Senior Product Manager в Кремниевой долине, что соответствует уровню Tier-1 компаний (Big Tech).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Manager, AI Data Mining position at Waymo. With over five years of experience in AI-centric product management and a deep technical background in foundation models and data infrastructure, I am eager to contribute to the mission of building the world's most trusted driver. My experience in decomposing complex 'moonshot' visions into actionable roadmaps aligns perfectly with Waymo's ambitious goals for the Waymo Driver.
In my previous roles, I have successfully led cross-functional teams of engineers and data scientists to build scalable platforms for model evaluation and simulation. I am particularly drawn to this role because of the opportunity to work on 'Evaluating the Evaluator' and streamlining the path to launch for production models. I am confident that my analytical rigor and ability to bridge the gap between research and engineering will help Waymo continue to push the boundaries of autonomous vehicle technology.
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Описание вакансии
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future.
This role follows a hybrid work schedule and reports to Rob Speare, Group Product Manager.
You will:
- Work with a world class team of engineers, data scientists, and machine learning practitioners to shape the platform we use to simulate and evaluate Large models that power the Waymo Driver
- Push the boundaries of the Waymo Driver through next generation Simulation & Evaluation products, rewarding and validating our most important production models
- Understand and champion Model Developers by deeply embedding with engineers
- Own the product: Forge deep partnerships with Research, Simulation, Data Science, and Systems Engineering to streamline the path to launch
You have:
- Technical Depth: 5+ years of experience in analytical and AI-centric products. You are comfortable discussing Foundation models, distributed systems, and data infrastructure
- Product Vision at Scale: A proven track record of decomposing "moonshot" visions into concrete, phased roadmaps
- Influential Leadership: Experience managing complex stakeholder environments, from ML researchers to safety boards and executive leadership
We prefer:
- Foundation Model Implementation: Experience distilling large teacher models into students
- Quantitative & Analytical Rigor: Ability to partner with Researchers and Data Scientists to define complex success metrics, including "Evaluating the Evaluator" (e.g., Distributional metrics, Precision/Recall, Bias/Variance)
- AV or Robotics Domain Knowledge: Familiarity with the unique challenges of autonomous vehicle evaluation, including simulation realism, log-based testing, and safety gating processes
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$241,000—$306,000 USD
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Навыки
- Product Management
- Artificial Intelligence
- Machine Learning
- Data Mining
- Foundation Models
- Distributed Systems
- Data Infrastructure
- Simulation
- Data Science
- Robotics
- Autonomous Vehicles
Возможные вопросы на собеседовании
Проверка технической глубины в области LLM/Foundation models.
Расскажите о вашем опыте дистилляции больших моделей-учителей в модели-ученики: с какими основными трудностями вы сталкивались?
Оценка навыков работы с метриками в сложных системах.
Как бы вы подошли к задаче 'Evaluating the Evaluator' для системы симуляции беспилотного автомобиля?
Проверка умения приоритизировать задачи в условиях неопределенности.
Как вы декомпозируете долгосрочное видение продукта (moonshot) в конкретный поэтапный роадмап для инженерной команды?
Оценка лидерских качеств и взаимодействия со стейкхолдерами.
Опишите случай, когда вам пришлось убеждать совет по безопасности или руководство в необходимости изменения курса разработки модели.
Проверка понимания специфики домена AV.
В чем заключаются основные сложности обеспечения реалистичности симуляции при тестировании критически важных для безопасности моделей?
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- Страна
- США
- Зарплата
- 241 000 $ – 306 000 $