Назад
1 месяц назад

Sr. Machine Learning Engineer (Marketplace ML)

17 750 - 21 917$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Senior Machine Learning Engineer (Marketplace ML): Developing and scaling the core economic engine for ride-hailing commercial services with an accent on automated training and deployment of optimization and prediction ML models. Focus on building high-level infrastructure for real-time decisions regarding pricing, matching, and positioning.

Location: Onsite in Mountain View or San Francisco, California

Salary: $213,000—$263,000 USD

Company

Waymo is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and safety through fully autonomous ride-hailing services.

What you will do

  • Implement and scale the core economic engine for Waymo's ride-hailing commercial services.
  • Develop high-level infrastructure for the automatic training and deployment of sophisticated optimization and prediction ML models.
  • Build systems to enable real-time decision-making for pricing, matching, and positioning.
  • Collaborate within the Platform team to provide specialized business platforms supporting Marketplace ML and Optimization products.

Requirements

  • BS degree in Computer Science or equivalent practical experience.
  • 5+ years of experience programming in backend languages such as Java or C++.
  • Experience building backend platforms that support multiple product use-cases or services.
  • Prior Machine Learning Engineering experience in Python using frameworks such as TensorFlow, PyTorch, or Keras.

Nice to have

  • MS in Computer Science or equivalent practical experience.
  • Experience building and deploying ML or Optimization models into production environments.
  • Experience developing ML data pipelines and workflow automation code on top of mature ML infrastructure.
  • Professional experience at a ride-hailing or marketplace company.
  • Academic background/coursework in ML and Optimization.

Culture & Benefits

  • Participation in a discretionary annual bonus program.
  • Equity incentive plan.
  • Generous comprehensive company benefits program.
  • Opportunity to work on industry-leading autonomous driving technology.

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