Senior Principal Engineer, Data & Machine Learning

PlayStation; San Mateo (CA); Vor Ort; USD 200.000 - 350.000; Vollzeit

Zusammenfassung

PlayStation seeks a Senior Principal Engineer, Data & Machine Learning to act as chief architect for Data & Intelligence. You will shape the next three years of data strategy, drive reuse, and author architectures across PlayStation's data landscape.

This hands-on role requires leadership in standards, experimentation, and trusted data practices within a global team. You will collaborate with security, privacy, governance, and responsible-AI teams to embed controls and enable enterprise data

Aufgaben

• Translate our multi-year Data & Intelligence strategy into a coherent technical strategy and target architecture.
• Chair the architecture review forum: charter, cadence, decisions, and design conformity.
• Own boundary decisions between platform reuse and domain delivery, ensuring stability.
• Define and ratify data contracts, gold datasets, model evaluation, observability, and lifecycle standards.
• Lead cross-organizational initiatives with architecture proposals, designs, and prototypes.
• Collaborate with engineering and data science to remove blockers and deliver usable capabilities.

Jobbeschreibung

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Sr. Principal Engineer, Data & Machine Learning

San Mateo, CA

Why PlayStation Data & Intelligence

PlayStation reaches more than 100+ million people. Behind those experiences is one of the largest consumer data estates in entertainment: tens of petabytes under management and trillions of telemetry events a year, powering personalization, experimentation, partner analytics and enterprise decisions across the company.

We are in the middle of a multi‑year shift in how that data creates value. Today intelligence often arrives after the moment has passed. Our goal is 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. That includes serving AI models and agents with the same governed meaning, quality and permissions we give to people.

This role helps shape how that is built across PlayStation.

The Role

We are looking for a Senior Principal Engineer, Data & Machine Learning to serve as chief architect for our Data & Intelligence organization and as 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 will report directly to the Vice President of the organization, sit on the leadership team alongside the Sr. Directors who run our two delivery portfolios, chair our architecture review forum, and lead a community of Principal Engineers anchored to the major architectural seams. You will have no direct reports by design; your leverage comes from the architecture, the standards and the decisions the whole organization builds against.

This is a hands‑on role. You will author architectures and reference implementations, prototype uncertain approaches, review the designs and code that matter most, and step in directly when a technical problem puts an important outcome at risk.

What You’ll Own

You will set the architecture for, and drive reuse across, the initiatives that define the next three years of data and intelligence at PlayStation:

• A single, reusable understanding of the player. The context, lifecycle and lifetime‑value intelligence that powers experiences and decisions across PlayStation, built once and reused rather than rebuilt per use case.
• Content and game understanding. Intelligence about titles, experiences and how players engage with them, connected through engagement and content graphs to improve discovery, personalization and new AI experiences.
• Creator and partner intelligence. Reusable title, launch and lifecycle intelligence available to partners at the point of decision, before launch, while live and after.
• Unified measurement. Experimentation, attribution and causal measurement so the company knows what changed an outcome, by how much, and what to do next.
• Activation. Real‑time signals, activation data products and APIs that deliver trusted context into the systems that personalize and act.
• Semantic and conversational intelligence. A shared layer of business meaning and metrics that people, analytical tools and AI agents can query and trust.
• Enterprise decision data. Decision‑grade finance and supply‑chain data that accelerates transformation programs across SIE.
• Trusted foundations and golden paths. Data contracts, certification, lineage, unified events and standard publish‑to‑consume paths, with trust designed into the lifecycle; and launch data readiness so priority launches have their signals and measures from day one.

What You’ll Do

• Translate our multi‑year Data & Intelligence strategy into a coherent technical strategy and target architecture, with clear principles for trusted data products, ML systems, shared intelligence, evaluation, activation and lifecycle management.
• Chair the architecture review forum: set its charter and cadence, publish decisions, track adoption and hold the line on non‑conforming designs.
• Own the boundary decisions between platform capabilities built for reuse and domain delivery, and keep them stable.
• Define and ratify the standards teams build against: data contracts, golden paths, model evaluation and experimentation, observability, reliability, cost and lifecycle management.
• Lead the technical direction of our hardest cross‑organizational initiatives; author proposals, reference designs and prototypes that establish a credible path from concept to production.
• Work directly with engineering and data science teams to remove critical blockers, so that decisions become usable capabilities rather than architecture on paper.
• Partner with security, privacy, legal, governance and responsible‑AI teams to embed controls throughout the data and ML lifecycle, including the responsible use of proprietary data, third‑party and foundation models, and externally hosted AI services.
• Identify duplicative capabilities, drive rationalization and retirement, and improve interoperability across SIE’s data and ML landscape.