- Страна
- Великобритания
- Зарплата
- 150 000 £ – 162 000 £
Откликайтесь
на вакансии с ИИ

Staff Machine Learning Engineer
Исключительная возможность работать в лидирующей компании в сфере автономного вождения над передовыми задачами AI. Высокая зарплата, отличный соцпакет и работа в Лондоне делают вакансию крайне привлекательной для топ-специалистов.
Сложность вакансии
Роль уровня Staff требует исключительной технической экспертизы в RL и Generative AI, а также подтвержденного опыта лидерства в сложных проектах. Высокие требования к образованию (MS/PhD) и стажу (7-10+ лет) делают эту позицию одной из самых сложных на рынке.
Анализ зарплаты
Предложенная зарплата (£150k - £162k) находится на уровне или чуть выше медианы для Staff-позиций в Лондоне. Однако, учитывая бонусы и акции (equity), совокупный доход может значительно превышать рыночные показатели для Великобритании.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Machine Learning Engineer position at Waymo's London office. With over 8 years of experience in developing large-scale machine learning systems and a deep specialization in Reinforcement Learning and Generative AI, I am eager to contribute to the mission of building the world’s most experienced driver. My background in implementing RLHF systems and fine-tuning large-scale models aligns perfectly with your team's focus on improving evaluation and simulation workflows.
In my previous roles, I have successfully led complex technical projects from conception to production, specifically focusing on distributed training and high-fidelity simulation. I am particularly impressed by Waymo's commitment to safety and innovation, and I am confident that my expertise in JAX and LLM/VLM solutions will help enhance human-led triaging and automate high-volume workflows. I look forward to the possibility of discussing how my technical leadership and research background can drive impactful improvements across Waymo’s technology stack.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в waymo уже сейчас
Присоединяйтесь к команде Waymo в Лондоне и создавайте будущее автономного вождения с помощью передовых технологий Generative AI и RL!
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.
The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.
We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack.
You will:
- Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.
- Lead the implementation, and iteration of novel RL algorithms, reward functions, and training paradigms tailored for generating high-fidelity and insightful driving behaviors
- Lead the development of cutting-edge Deep Learning models and Generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies.
- Oversee the production and optimization of machine learning models aiming to assess Waymo’s expansive fleet of vehicles that cumulatively travel millions of miles.
- Proactively monitor and assimilate best practices from within Alphabet and the broader industry to develop a novel Reinforcement Learning from Human Preference (RLHF) based data collection and evaluation system.
- Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.
You have:
- M.S. or Ph.D. degree Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience.
- 7+ years of hands-on experience in developing and applying Machine Learning models, with a significant focus on Reinforcement Learning.
- Demonstrated expertise in deep learning, sequence modeling, and generative models.
- Strong publication record or history of impactful project delivery in RL or related areas.
- Proficiency in Python and standard ML frameworks (e.g., JAX, TensorFlow).
- Experience with large-scale distributed training and data processing.
- Proven ability to lead complex and ambiguous technical projects from conception to completion.
We prefer:
- 10+ years of relevant experience in ML/RL research and application.
- Experience in the autonomous vehicles domain, robotics, or complex simulation environments.
- Deep understanding of state-of-the-art RL techniques, including those used for fine-tuning large models (e.g., from human feedback/preferences).
- Familiarity with large-scale simulation platforms and their integration with ML training workflows.
- Experience designing and using metrics for evaluating complex AI systems.
- Track record of technical leadership, influencing senior stakeholders, and driving innovation across team boundaries.
- Excellent communication skills, with the ability to articulate complex technical concepts clearly.
The expected base salary range for this full-time position 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. 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
£150,000—£162,000 GBP
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- Machine Learning
- JAX
- Deep Learning
- TensorFlow
- Generative AI
- Robotics
- Simulation
- Reinforcement Learning
- RLHF
- Distributed Training
- Large Language Model
Возможные вопросы на собеседовании
Позиция требует глубоких знаний в RL для генерации реалистичного поведения.
Расскажите о вашем опыте внедрения алгоритмов RL для моделирования сложных агентов в симуляции. С какими основными трудностями вы столкнулись при обеспечении стабильности обучения?
Вакансия упоминает использование RLHF для систем сбора данных.
Как бы вы спроектировали систему Reinforcement Learning from Human Preference (RLHF) для оценки качества вождения беспилотного автомобиля?
Работа предполагает использование LLM/VLM для анализа поведения.
Каким образом Generative AI (например, VLM) может помочь в автоматизации процесса триажа (анализа инцидентов) в автономном вождении?
Waymo работает с огромными объемами данных.
Опишите ваш опыт работы с распределенным обучением моделей на больших кластерах. Какие инструменты (JAX, TensorFlow) и стратегии параллелизма вы предпочитаете?
Роль Staff подразумевает влияние на несколько команд.
Приведите пример, когда вам приходилось убеждать руководство или смежные команды (например, Planning или Research) принять сложное техническое решение. Как вы выстраивали аргументацию?
Похожие вакансии
MLOps Engineer (Python)
AI Engineer (CV & Navigation)
Middle, Middle+, Senior GenAI/LLM Разработчик
Middle / Senior GenAI Engineer (CV)
AI Engineer / AI Mentor
Junior разработчик agent AI-систем
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- Великобритания
- Зарплата
- 150 000 £ – 162 000 £