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Director of Engineering – Perception Data
Company | Waymo |
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Location | Mountain View, CA, USA |
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Salary | $332000 – $421000 |
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Type | Full-Time |
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Degrees | |
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Experience Level | Senior, Expert or higher |
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Requirements
- Track record in leading Data organizations that supported successful and large-scale products relying on ML, or
- Track record in leading a successful and large-scale quality-driven product that depends on the quality of data for its ML development
- Experience and mindset in working backwards from business goals to form the data strategies, while being extremely customer-focused – being a partner to the customer teams in shaping the best data plan for them together, and deliver
- Experience working leading horizontal programs
- Technical ability to dive deep into technical details, including complex systems, infrastructure, algorithms, and modeling techniques
Responsibilities
- Keep close track and build understanding of evolving business and technology needs on data, including those that serve Waymo’s product goals and foundation models
- Create data strategies that orchestrate the many facets involving data delivery: on-car real-time data sampling, offline data sampling, mining and sampling capabilities, data curation efficiency and quality, human labeling vs. autolabeling efficiency and quality tradeoffs, large-scale data generation systems, and storage
- Set up and evolve the working structure between multiple teams across Waymo, where we maximize reuse of infrastructure and tooling
- Responsible for ongoing delivery of diverse, fresh, and high-quality data for Perception’s development, evaluation and model training
- Develop both data technologies and data tooling to support Waymo’s increasing scale, and to support the diverse and advanced data requirements
Preferred Qualifications
- Experience leading ML-heavy quality-driven products, therefore having first-hand experience as users of data for ML development
- Familiarity with the data needs of computer vision models and VLMs
- Experience in data science to systematically understand the significance of data