Назад
11 дней назад

Senior Manager, Perception Data (Autonomous Driving)

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
Senior Manager, Perception Data (Autonomous Driving): Leading the perception data flywheel for robotaxis, from fleet-log mining and automated annotation to training, evaluation, and measurement, with an accent on rare-event discovery, multimodal perception, and scalable data systems. Focus on building intelligent data miners, improving auto-labeling pipelines, managing multidisciplinary teams, and connecting data quality to model performance.

Location: Foster City, California, United States; hybrid workplace

Company

Zoox develops autonomous robotaxis and the software systems that enable safer, smarter urban driving.

What you will do

  • Own the perception data flywheel from fleet signals and model behavior through data discovery, curation, enrichment, training, evaluation, and measurement.
  • Lead and develop a multidisciplinary team of more than 10 people across data science, data engineering, and data labeling.
  • Build auto-annotation and auto-labeling pipelines to improve label quality, throughput, and cost efficiency.
  • Develop data miners using embeddings, semantic search, learned representations, and model-driven selection to identify rare and safety-critical scenarios.
  • Define how fleet logs are selected, stored, and retrieved, balancing quality, accuracy, speed, cost, and scale.
  • Partner with ML, metrics and evaluation, and infrastructure teams to connect curated data with model performance.

Requirements

  • Experience building and leading high-performing technical teams in data science, data engineering, machine learning, or data labeling.
  • Experience managing managers or senior individual contributors.
  • Deep technical expertise in computer vision, video, multimodal AI, or related perception problems.
  • Experience leading large-scale data capabilities that directly influence model training, evaluation, and performance.
  • Strong judgment in data discovery, selection, curation, and enrichment, including quality, speed, cost, and build-versus-buy trade-offs.
  • Ability to set strategy, work through ambiguity, engage with technical detail, and influence senior technical and business stakeholders.

Nice to have

  • Experience in autonomous driving, robotics, or embodied AI.
  • Experience with large-scale video, multimodal, or foundation-model training.
  • Experience with semantic search, embeddings, active learning, auto-labeling, or intelligent data selection and enrichment.
  • Experience acquiring large-scale real-world data across fleets, partners, or multiple geographies.

Culture & Benefits

  • Hybrid work environment.
  • Paid time off, including sick leave, vacation, and bereavement leave.
  • Health, long-term care, disability, and life insurance.
  • Compensation may include base salary, Amazon RSUs, Zoox Stock Appreciation Rights, and a possible sign-on bonus.

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