Назад
26 дней назад

Sr. Software Engineer (Marketplace ML Platform)

175 000 - 215 000$
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

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TL;DR

Sr. Software Engineer (Marketplace ML Platform): Building and scaling the core economic engine and ML infrastructure for ride-hailing services with an accent on model life cycle automation and real-time decision systems. Focus on developing high-level infrastructure for training and deploying optimization and prediction ML models.

Location: Onsite in Mountain View or San Francisco, California

Salary: $175,000—$215,000 USD

Company

Waymo is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and save lives 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 infrastructure for automatically training and deploying optimization and prediction ML models for real-time pricing, matching, and positioning.
  • Automate the model life cycle, including feature engineering, training workflows, and inference services.
  • Build and refine the next-generation Marketplace Simulation system for high-fidelity virtual experiments.
  • Streamline Marketplace Experimentation practices via a unified user-friendly platform.

Requirements

  • BS degree in Computer Science or equivalent practical experience.
  • 4+ 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 like TensorFlow, PyTorch, or Keras.
  • Must be able to work onsite in Mountain View or San Francisco, CA

Nice to have

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

Culture & Benefits

  • Discretionary annual bonus program.
  • Equity incentive plan.
  • Generous comprehensive company benefits program.

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