Назад
1 день назад

Machine Learning Engineer (Planner Evaluation)

213 000 - 263 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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

Machine Learning Engineer (Planner Evaluation): Developing and implementing evaluation metrics for autonomous driving software with an accent on simulation, data mining, and performance analysis. Focus on building robust data pipelines and statistical methods to measure the quality of the Waymo Driver across complex, large-scale codebases.

Location: Must be based in the US (Mountain View, San Francisco, or New York City). This role follows a hybrid work schedule.

Salary: $213,000–$263,000 USD

Company

Waymo is an autonomous driving technology company dedicated to improving mobility and safety through its fully autonomous driver platform.

What you will do

  • Develop signals to measure performance and driving qualities using statistics, physics, and machine learning.
  • Utilize simulation and real-world driving logs to evaluate software performance.
  • Design methods to bridge the gap between onboard software changes and simulated outcomes.
  • Maintain high code health standards within a large, complex codebase.
  • Analyze data to provide actionable recommendations for metric quality and interpretability.
  • Collaborate with cross-functional teams including data scientists and statisticians to deliver evaluation products.

Requirements

  • Must be based in the US.
  • BS in Computer Science, Robotics, Statistics, Physics, Math, or a related quantitative field.
  • 2-3 years of industry experience navigating large codebases (C++, Python, SQL).
  • Proven experience building data processing pipelines and performing statistical analysis.
  • Strong quantitative and data fluency.
  • Ability to pursue open-ended problems to completion.

Nice to have

  • Experience coding in C++.
  • Experience with ML and A/B experiment infrastructure.
  • Experience building and validating metrics for complex systems.
  • Exposure to ad-hoc data analysis tools for rapid prototyping.
  • Prior experience in the autonomous vehicle industry.

Culture & Benefits

  • Discretionary annual bonus program.
  • Equity incentive plan.
  • Comprehensive company benefits program.
  • Collaborative environment focused on cutting-edge autonomous driving technology.

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