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обновлено 16 дней назад

Senior Research Scientist (AI Foundations)

123 000 - 129 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK

Описание вакансии

Текст:
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TL;DR
Senior Research Scientist (AI Foundations) (Machine Learning/Autonomous Driving): Developing machine learning solutions and global-scale data pipelines for foundation models used in autonomous driving with an accent on data mixtures, data-selection algorithms, generative modeling, and reinforcement learning. Focus on linking pre-training data composition to post-training performance, optimizing production training runs, and evaluating impact on the Waymo Driver.

Location: Hybrid role based in London or Oxford, England

Salary: £123,000–£129,000 GBP per year

Company

Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.

What you will do

  • Partner with foundation model training teams to optimize data mixtures, training curricula, objectives, and model design choices.
  • Design global-scale pipelines for dynamically updating and reusing data mixtures as datasets evolve.
  • Develop and deploy data-selection algorithms for targeted fine-tuning and reinforcement learning datasets.
  • Run large-scale empirical studies connecting pre-training data composition with downstream post-training performance.
  • Collaborate with behavior, perception, and evaluation teams to measure the impact of foundation models on the Waymo Driver.

Requirements

  • PhD in machine learning or a related AI/computer science field, or an MSc with a strong academic publication record.
  • Strong statistical and machine learning knowledge.
  • Proficiency in Python.
  • 3+ years of experience with modern deep learning frameworks, including JAX, TensorFlow, or PyTorch.
  • Ability to work in a hybrid setup in London or Oxford, England.

Nice to have

  • Experience deploying machine learning models to production.
  • Deep learning experience with generative models, LLMs, VLMs, reinforcement learning, imitation learning, transformer models, autoencoders, or embeddings.
  • Autonomous driving experience.
  • C++ experience.

Culture & Benefits

  • Eligibility for a discretionary annual bonus program.
  • Equity incentive plan.
  • Company benefits program, subject to eligibility requirements.