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обновлено 10 дней назад

Staff Machine Learning Engineer – VLM/LLM Staff Research Scientist, Perception Machine Learning Engineer, Prediction & Planning Foundation Model Data, Software Engineer (AI)

238 000 - 302 000$
Формат работы
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 (Foundation Models/Autonomous Driving AI): Building foundation-model evaluation systems, benchmarks, and large-scale data pipelines for autonomous driving systems with an accent on quality, safety, realism, and end-to-end model lifecycle evaluation. Focus on evaluating pretraining, supervised fine-tuning, and reinforcement learning, scaling distributed ML infrastructure, and deploying innovative machine learning technology in production.

Location: Hybrid work schedule in Mountain View or San Francisco, California, or New York City, New York

Salary: $238,000–$302,000 USD per year, plus potential annual bonus and equity incentives

Company

Waymo develops autonomous driving technology and fully autonomous ride-hailing services through the Waymo Driver.

What you will do

  • Build state-of-the-art foundation models used onboard autonomous vehicles and offboard in simulation.
  • Lead end-to-end evaluation systems and benchmarks for Waymo foundation models.
  • Evaluate model quality, safety, and realism across pretraining, supervised fine-tuning, and reinforcement learning.
  • Partner across organizations to bring innovative machine learning technology into production.
  • Implement and extend large-scale data and evaluation pipelines.

Requirements

  • Master’s or PhD in Computer Science, a similar technical field, or equivalent practical experience.
  • 5+ years of experience in machine learning engineering and applied deep learning.
  • Strong portfolio of shipped products or a publication record.
  • Experience with large-scale distributed systems.
  • Proficient programming skills in Python and C/C++.
  • Strong analytical and debugging skills.

Nice to have

  • Machine learning infrastructure experience, including training, evaluating, and deploying models at scale.
  • Deep learning experience with generative models such as LLMs or VLMs and/or reinforcement learning.
  • In-depth knowledge of an ML framework such as PyTorch, JAX, or TensorFlow.

Culture & Benefits

  • Health, dental, vision, life, and disability insurance.
  • 401(k) retirement plan with company match.
  • 20 vacation days per year and paid holidays.
  • Paid sick time, maternity leave, and baby bonding leave.
  • Annual bonus program, equity incentive plan, and company benefits for eligible employees.

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