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- Великобритания
- Зарплата
- 120 000 £ – 130 000 £
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Machine Learning Engineer
Исключительная возможность работать в топовой компании индустрии автономного вождения над передовыми задачами GenAI и RL. Высокая зарплата, работа в Лондоне и участие в проекте мирового масштаба делают вакансию крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена требованиями к ученой степени (MS/PhD), глубокой экспертизе в Reinforcement Learning и опыту работы с распределенным обучением моделей уровня LLM/VLM. Роль предполагает лидерство в технически сложных и неопределенных проектах.
Анализ зарплаты
Предложенный диапазон £120,000 – £130,000 является конкурентоспособным для Лондона, однако для специалистов уровня Senior/Lead с PhD в области ML в топовых технологических компаниях (Big Tech) рыночный медианный доход может быть выше за счет бонусов и акций. Тем не менее, базовая часть соответствует верхнему сегменту рынка.
Сопроводительное письмо
I am writing to express my strong interest in the Machine Learning Engineer position within the DUE ML Core team at Waymo. With over five 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 Waymo’s mission of building the world’s most trusted driver. My background in implementing complex RL algorithms and working with distributed training frameworks like JAX aligns perfectly with your team's focus on high-fidelity simulation and automated evaluation.
In my previous roles, I have successfully led projects involving RLHF and the fine-tuning of large-scale models to improve system performance based on human preferences. I am particularly impressed by Waymo's scale of data—over 100 million miles driven—and I am excited by the challenge of building scalable systems that can process this information to detect critical anomalies and enhance driving behaviors. I am confident that my technical leadership and expertise in sequence modeling will allow me to make immediate contributions to your London-based engineering efforts.
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Откликнитесь в waymo уже сейчас
Присоединяйтесь к команде Waymo в Лондоне, чтобы создавать 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.
- 5+ 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:
- 7+ 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
£120,000—£130,000 GBP
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Навыки
- Python
- Machine Learning
- JAX
- Deep Learning
- TensorFlow
- Generative AI
- Computer Science
- Robotics
- Simulation
- Reinforcement Learning
- Distributed Training
- Large Language Model
Возможные вопросы на собеседовании
Вакансия делает упор на RLHF для систем оценки. Важно понять, как кандидат будет решать проблему субъективности человеческих предпочтений.
Как бы вы спроектировали систему RLHF для оценки безопасности вождения, учитывая, что разные эксперты могут по-разному оценивать 'рискованность' маневра?
Waymo работает с огромными объемами данных. Кандидат должен понимать специфику JAX или TensorFlow в распределенной среде.
Опишите ваш опыт оптимизации пропускной способности (throughput) при обучении больших генеративных моделей на распределенных кластерах GPU/TPU.
Роль включает создание реалистичных симуляций. Важно понимание генеративных подходов.
Какие архитектурные решения вы бы выбрали для генерации 'edge cases' в симуляции, чтобы они оставались физически реалистичными, но полезными для обучения планировщика?
Работа в Simulation требует умения измерять прогресс.
Как вы определяете метрики успеха для ML-модели, которая сама предназначена для оценки других моделей (meta-evaluation)?
Требуется опыт лидерства в условиях неопределенности.
Расскажите о случае, когда вам пришлось принимать критическое техническое решение в проекте с высокой степенью неопределенности и отсутствием четких вводных.
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- Страна
- Великобритания
- Зарплата
- 120 000 £ – 130 000 £