Назад
10 часов назад

Staff Machine Learning Engineer (Simulation Realism)

251 000 - 310 000$
Формат работы
onsite/hybrid
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
Staff Machine Learning Engineer (Simulation Realism) (Deep Learning/Computer Vision): Improving the quality and accuracy of labeled multi-modal sensor data for realistic autonomous-driving simulation with an accent on perception data, sensor fusion, and scalable data-labeling pipelines. Focus on developing models that detect and correct data issues, investigating anomalies, and leading ML strategies for high-fidelity world representations.

Location: Mountain View, California, United States; on-site/hybrid role

Salary: $251,000–$310,000 USD annual base salary, plus eligibility for an annual bonus, equity incentive plan, and company benefits.

Company

Waymo develops autonomous driving technology and the Waymo Driver, an autonomous ride-hailing and vehicle platform system.

What you will do

  • Improve the quality and accuracy of labeled data derived from multi-modal sensors.
  • Develop ML models that identify and correct issues in perception-based simulation data.
  • Analyze data quality, investigate anomalies, and improve data-labeling pipelines.
  • Collaborate with perception and simulation teams to define data requirements and quality standards.
  • Lead solutions for complex data-quality challenges and define ML strategies for high-fidelity data generation.

Requirements

  • BS or MS in Computer Science or a related field.
  • 5+ years of applied Deep Learning/Machine Learning experience for L5, or 7+ years for L6.
  • Strong background in computer vision, sensor fusion, or perception.
  • Proficiency in Python and common ML frameworks such as TensorFlow or PyTorch.
  • Experience with data analysis, quality assessment, strong coding, and system design.

Nice to have

  • PhD in Computer Science or a similar discipline.
  • Experience with autonomous vehicle sensor data.
  • Familiarity with data-labeling processes and challenges.
  • Experience taking ML models from research to production.

Culture & Benefits

  • Collaborative work with software engineers, ML engineers, and data scientists.
  • Work on realistic simulation systems for testing and training autonomous vehicles.
  • Eligibility for a discretionary annual bonus program and equity incentive plan.
  • Company benefits program subject to eligibility requirements.

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