Назад
3 дня назад

ML Engineer, Foundation Model Infrastructure

175 000 - 215 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
ML Engineer, Foundation Model Infrastructure (AI/Autonomous Driving): Building and operating petabyte-scale data systems, ML pipelines, and foundation model infrastructure for the Waymo Driver with an accent on large-scale compute, model evaluation, and safe deployment. Focus on developing distributed ML systems, automating benchmarking and monitoring, and improving the reliability and efficiency of the end-to-end machine learning lifecycle.

Location: On-site or hybrid in Mountain View, California; San Francisco, California; New York City, New York; or Kirkland, Washington

Salary: $175,000–$215,000 USD per year, plus potential annual bonus, equity, and benefits.

Company

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

What you will do

  • Build and operate petabyte-scale data systems and machine learning pipelines for foundation model development.
  • Move foundation models from research prototypes into robust components of the Waymo Driver.
  • Create automated infrastructure for model benchmarking, continuous monitoring, and safe releases.
  • Use large-scale compute and frameworks such as Flume and JAX to process massive datasets and train and deploy complex models.
  • Improve the speed, reliability, and efficiency of the end-to-end ML development lifecycle.
  • Collaborate with AI Foundations, ML, and Platform specialists to turn model innovations into on-road improvements.

Requirements

  • Master’s degree in Computer Science, Machine Learning, Robotics, or a similar technical field, or equivalent practical experience.
  • Proficiency in Python and C++.
  • Familiarity with a modern deep learning framework such as PyTorch, JAX, or TensorFlow.
  • Experience building or maintaining large-scale data pipelines or ML infrastructure, such as Flume, Spark, Borg, or Kubeflow.
  • Experience with large codebases, distributed systems, MLOps platforms, or ML model evaluation is valuable.

Nice to have

  • Experience in autonomous vehicle planning and related research.
  • Experience with model versioning, experiment tracking, or CI/CD for machine learning.
  • Industrial or research experience developing methodologies for evaluating ML models.

Culture & Benefits

  • Work with the AI Foundations team on reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
  • Health, dental, vision, life, and disability insurance.
  • 401(k) with company match, paid vacation, sick time, paid holidays, and parental leave.
  • Eligibility for an annual bonus program, equity incentive plan, and company benefits.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →