- Страна
- США
- Зарплата
- 281 000 $ – 356 000 $
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Senior Staff TLM, Perception, Semantics Understanding
Исключительная вакансия в компании-лидере индустрии беспилотных авто. Высокая зарплата, работа над технологиями мирового уровня и значительное влияние на продукт делают эту роль топовой на рынке.
Сложность вакансии
Чрезвычайно высокая сложность из-за требований к 10-летнему опыту в CV/Deep Learning и управленческому опыту в сфере беспилотников. Позиция подразумевает владение критически важными модулями безопасности и работу с передовыми ML-моделями.
Анализ зарплаты
Предлагаемая зарплата ($281k - $356k) находится на верхнем уровне рыночных значений для Senior Staff позиций в Кремниевой долине. С учетом бонусов и акций (RSU), совокупный доход может значительно превышать медиану рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Staff TLM position for the Vehicle Understanding team at Waymo. With over a decade of experience in computer vision and deep learning within the autonomous driving sector, I have consistently delivered production-grade perception modules that enhance vehicle safety and intelligence. My background in leading multi-disciplinary teams of over 10 engineers aligns perfectly with Waymo's mission to scale the World's Most Experienced Driver™.
In my previous roles, I have successfully navigated the complexities of fine-grained classification and intent prediction, leveraging multi-modal foundational models to improve system generalizability. I am particularly drawn to Waymo's commitment to innovation and its rigorous approach to simulation and real-world testing. I am confident that my technical leadership and proven track record in fostering inclusive, high-performing team cultures will contribute significantly to Waymo’s domestic and international expansion efforts.
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Откликнитесь в waymo уже сейчас
Присоединяйтесь к команде Waymo и создавайте будущее автономного вождения на позиции Senior Staff TLM!
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.
We are seeking an experienced TLM to lead the Vehicle Understanding team. In this role, you will own the production modules related to Vehicle Understanding for the Waymo Driver. This area includes vehicles’ fine-grained classification (e.g., emergency, railed, construction, towing), states (e.g., warning, temporal blockage, active loading/unloading), and intents (e.g., lane-changes, stalled/slow, double-parking, unparking). Being on the critical path of Waymo’s domestic/international expansion, you will drive immediate impact and the 0-to-1 changes that push boundaries of the Waymo Driver’s generalizability.
In this hybrid role, you will report to our Senior Staff TLM of Semantics Understanding.
You Will:
- Lead a team responsible for a key production area to scale Waymo's business
- Develop a strong collaborative relationship with upstream and downstream teams to facilitate the end-to-end solutions for the corresponding product domains
- Exercise technical leadership by pushing the boundaries of onboard/offboard generalizability, e.g., by leveraging onboard/offboard multi-modal foundational models, large-scale 3rd party data, and partner teams in Research, Oracles, and Simulation.
- Manage a team (~10) with diverse skills including engineering, modeling, ML infrastructure, of senior and junior SWEs, foster an inclusive culture for sustained team growth, and hiring world-class talents.
- Collaborate with Platform/Infra partners to optimize the team’s key pipelines (e.g., data, training, evaluation, onboard) for high performance, efficiency, and reliability.
- Develop the execution strategies that balance short-term and long-term priorities. Drive process and clarify R&Rs for cross-organizational alignments.
You Have:
- BS/MS in Computer Science, Machine Learning or related disciplines
- 10+ years of experience in computer vision and deep learning production systems in the autonomous driving vehicle space.
- 5+ years of experience managing medium-sized (10+ people) production teams in complex, fast-paced environments with a track record in developing team culture and growing people.
- Experience in collaborating with technical, research and business stakeholders to drive impactful solutions.
We Prefer:
- PhD in Computer Science, Machine Learning or related disciplines
- Publications in top CV conferences (NeurIPS, CVPR, ICCV, etc.)
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
$281,000—$356,000 USD
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Навыки
- Computer Vision
- Deep Learning
- Machine Learning
- Python
- C++
- ML Infrastructure
- Autonomous Vehicles
- Perception
- Team Management
- Technical Leadership
Возможные вопросы на собеседовании
Проверка технической экспертизы в ключевой области ответственности команды.
Как бы вы подошли к моделированию неопределенности при определении намерений (intents) других участников движения, таких как двойная парковка или начало движения?
Оценка опыта масштабирования систем для новых регионов.
Какие стратегии вы предложите для обеспечения обобщающей способности (generalizability) моделей восприятия при экспансии Waymo на международные рынки с другими ПДД?
Проверка навыков управления командой и развития талантов.
Опишите ваш подход к управлению смешанной командой из инженеров и исследователей (ML Research) для соблюдения баланса между краткосрочными целями продукта и долгосрочными инновациями.
Оценка опыта работы с инфраструктурой данных.
Как вы оптимизируете пайплайны обучения и оценки при работе с огромными массивами данных (десятки миллиардов миль в симуляции), чтобы сократить цикл итерации модели?
Проверка навыков кросс-функционального взаимодействия.
Расскажите о случае, когда вам пришлось разрешать конфликт приоритетов между вашей командой восприятия и смежными командами (например, планирования траектории или платформы).
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- Страна
- США
- Зарплата
- 281 000 $ – 356 000 $