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Senior Machine Learning Engineer (AI)

225 000 - 305 000$
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

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TL;DR
Senior Machine Learning Engineer (AI): Designing and implementing cutting-edge detection models using fused sensor data for the next generation of driving software. Focus on developing generalizable and adaptable models, joint detection and tracking models, and relaying semantic meaning to downstream models to capture uncertainty.

Location: Foster City, California or Boston, Massachusetts, United States. Workplace: Hybrid.

Salary: $225,000–$305,000 per year base salary, plus potential equity and sign-on bonus.

Company

Zoox is developing a fully autonomous vehicle fleet and the supporting ecosystem for urban mobility-as-a-service, combining robotics, machine learning, and design.

What you will do

  • Design and implement detection models using fused sensor data for autonomous driving software.
  • Develop joint detection and tracking models and methods for sending rich embeddings to downstream models.
  • Train machine learning models and evaluate state-of-the-art approaches through studies, ablations, and model modifications.
  • Document experimental results and drive learned models toward deployment on Zoox robots.
  • Visualize model inputs and outputs to diagnose perception issues.
  • Collaborate with ML optimization, data labeling, metrics, and planning teams to support Zoox releases.

Requirements

  • MS or PhD in Computer Science or a related field.
  • Experience with PyTorch or related machine learning frameworks.
  • Experience deploying learned models into production.
  • Excellent collaboration and teamwork skills, with experience working on large-scale problems.

Nice to have

  • Experience in autonomous vehicles or a related field.
  • Experience with joint detection and tracking models.
  • Deep understanding of end-to-end training and evaluation processes.

Culture & Benefits

  • Hybrid work environment supporting collaboration across autonomy software teams.
  • Paid time off, including sick leave, vacation, and bereavement leave.
  • Health, long-term care, disability, and life insurance.
  • Zoox Stock Appreciation Rights and Amazon Restricted Stock Units.

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