Staff Software Engineer, AI Foundry Data Quality and Training Data
Google· AI Foundry Data Acquisition and Data Quality (DA&DQ)
San Jose, CA, USA$207k - $300kFull-timePosted 2w ago
About the role
Engineers deliver AI-ready training datasets and data quality infrastructure for Google's AI initiatives, leading data pipelines, quality metrics, and collaboration with researchers to support pre-training, post-training, and multimodal training data delivery for foundation models.
Responsibilities
- Provide technical leadership and people management for a team of Software Engineers delivering AI-ready training datasets and data quality infrastructure.
- Architect, build, and evolve large-scale distributed data processing pipelines, signal-serving platforms, and dataset observability systems with rigorous reliability and SLO guarantees.
- Partner closely with peer tech lead managers, Über Tech Leads (UTLs), and DeepMind researchers to drive the end-to-end roadmap for pre-training, post-training, and multimodal training data delivery
- Design and scale web-scale algorithms and optimization frameworks including crawl targeting, document selection, deduplication, spam/low-value filtering guardrails, and objective functions operating across hundreds of billions of documents.
- Establish rigorous data quality metrics and automated anomaly detection.
Qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
- 2 years of experience in a people management, supervision/team leadership role.
- Experience working with algorithms and data structures, analysis, and software design.
- Experience in software engineering principles, design patterns, and system architecture.
Skills
Required:Technical leadershipDistributed data processingDataset observabilityData quality metrics
Last updated Oct 23, 2026. Interested? Apply on the company site.
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