Мэтч & Сопровод
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Описание вакансии
Текст:
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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