Staff Software Engineer, AI Foundry Data Quality and Training Data

• 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 Service Level Objective (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.

Minimum 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.

Preferred qualifications:

• PhD degree in Computer Science, Machine Learning, Distributed Systems, Operations Research, or a related technical field.
• Experience with algorithms and mathematical or system performance improvements.
• Experience building and operating high-throughput distributed systems on infrastructure or equivalent batch and streaming frameworks.
• Experience as a tech lead manager leading engineering teams in domains bridging infrastructure and machine learning.
• Experience with data quality, dataset curation, value-of-data analysis, or training data pipelines for Large Language Models (LLMs) and multimodal foundation models.

• 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.