Назад
12 дней назад

Machine Learning Engineer (Marketplace Pricing)

175 000 - 215 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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

Machine Learning Engineer (Marketplace Pricing): Implementing and scaling core dynamic pricing engines for autonomous ride-hailing services with an accent on ML model development, real-time optimization, and distributed systems. Focus on balancing supply and demand, maximizing fleet utilization, and productionizing sophisticated pricing algorithms to drive revenue strategy.

Location: Onsite in Mountain View or San Francisco, California

Salary: $175,000–$215,000 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

  • Implement and scale core dynamic pricing engines to drive revenue across operating markets.
  • Develop and deploy sophisticated ML models and optimization algorithms for real-time pricing.
  • Build and maintain infrastructure for pricing experimentation, monitoring, and analysis.
  • Partner with product data scientists to productionize innovative pricing solutions.
  • Ensure service competitiveness and fleet profitability through data-driven decision systems.

Requirements

  • BS degree in Computer Science or equivalent practical experience.
  • 4+ years of experience in backend programming.
  • Experience building backend distributed systems.
  • Experience developing machine learning or optimization infrastructure and pipelines.
  • Proven track record of deploying ML or optimization models into production environments.

Nice to have

  • Experience with C++.
  • MS in Computer Science.
  • Experience developing low-latency, large-scale, user-facing distributed systems.
  • Prior experience in ride-hailing or marketplace companies.

Culture & Benefits

  • Participation in discretionary annual bonus program.
  • Equity incentive plan eligibility.
  • Comprehensive company benefits program.
  • Opportunity to work on cutting-edge autonomous driving technology.

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