Назад
16 дней назад

Staff Machine Learning Engineer (Simulation)

251 000 - 310 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Staff Machine Learning Engineer (Simulation): Developing and scaling production-grade machine learning models to assess autonomous vehicle behavior with an accent on large-scale data systems and simulation workflows. Focus on building reward functions, integrating state-of-the-art ML into production, and improving the performance of the autonomous driving technology stack.

Location: Onsite in Mountain View, CA; San Francisco, CA; or New York City, NY

Salary: $251,000–$310,000 USD

Company

Waymo is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

  • Develop and deploy ML models to evaluate autonomous vehicle behavior.
  • Build and maintain robust ML infrastructure to support high-performance models.
  • Collaborate across cross-functional teams to bring state-of-the-art research into production systems.
  • Design and operate large-scale data systems and simulation workflows.
  • Combine expert human judgment with advanced ML models to deliver high-quality training data.

Requirements

  • BS in Computer Science, Robotics, Statistics, Physics, Math, or equivalent experience.
  • 5+ years of experience building productionized ML models.
  • Proficiency in Python and C++ for production system design.
  • Strong background in applied Deep Learning.
  • Proven track record in improving model quality.

Nice to have

  • 8+ years of experience building productionized ML models.
  • Experience in reinforcement learning or transfer learning.
  • Experience working with large-scale data and complex models.

Culture & Benefits

  • Participation in discretionary annual bonus program and equity incentive plan.
  • Comprehensive company benefits program.
  • Opportunity to work on cutting-edge autonomous driving technology.
  • Collaborative environment focused on safety and innovation.

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