Senior Principal Engineer, Data & Machine Learning
Sony Interactive Entertainment Global · United States, San Mateo, CA
About this role
**Why Sony Interactive Entertainment?** Sony Interactive Entertainment (SIE) isn’t just the Best Place to Play—it’s also the Best Place to Work. As the company behind the PlayStation brand and a subsidiary of Sony Group Corporation, we deliver cutting-edge hardware and network services to 100M+ people and create experiences powered by some of the world’s most beloved IP. **Sr. Principal Engineer, Data & Machine Learning** *San Mateo, CA* --- ## Why PlayStation Data & Intelligence PlayStation reaches 100M+ people, supported by one of the largest consumer data estates in entertainment—tens of petabytes under management and trillions of telemetry events per year. This powers personalization, experimentation, partner analytics, and enterprise decisions. We’re building a connected intelligence layer where trusted context about players, content, partners, and the business is built once, reused everywhere, activated at the point of decision, and improved by evidence about what happened next—so AI models and agents use the same governed meaning, quality, and permissions as people. --- ## The Role We’re looking for a **Senior Principal Engineer, Data & Machine Learning** to serve as **chief architect** for our Data & Intelligence organization and the senior technical authority for how SIE builds, reuses, and activates trusted data and intelligence. This is one of SIE’s most senior individual-contributor roles. You’ll report directly to the Vice President, sit on the leadership team, chair our architecture review forum, and lead a community of Principal Engineers. **No direct reports by design**—your leverage comes from architecture, standards, and decisions the organization builds against. This is also a **hands-on** role: author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in when technical issues threaten important outcomes. --- ## What You’ll Own You’ll set the architecture and drive reuse across initiatives that define the next three years of data and intelligence at PlayStation: - **A single, reusable understanding of the player** (context, lifecycle, and lifetime-value intelligence) - **Content and game understanding** (engagement + content graphs to improve discovery, personalization, and new AI experiences) - **Creator and partner intelligence** (title/launch/lifecycle intelligence available to partners at the point of decision) - **Unified measurement** (experimentation, attribution, and causal measurement) - **Activation** (real-time signals, activation data products, and APIs) - **Semantic and conversational intelligence** (shared business meaning and metrics people, tools, and AI agents can trust) - **Enterprise decision data** (decision-grade finance and supply-chain data) - **Trusted foundations and golden paths** (data contracts, certification, lineage, unified events, standard publish-to-consume paths, and launch data readiness) --- ## What You’ll Do - Translate the multi-year Data & Intelligence strategy into a coherent **technical strategy and target architecture** (trusted data products, ML systems, shared intelligence, evaluation, activation, lifecycle management) - Chair the **architecture review forum** (charter/cadence, publish decisions, track adoption, enforce non-conforming design boundaries) - Own **boundary decisions** between reusable platform capabilities and domain delivery - Define and ratify **standards** (data con
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