Senior Principal Engineer, Data & Machine Learning at Sony Interactive Entertainment · LumiJobs

Responsibilities

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.
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.
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.

Qualification

15+ years in softwareExperience taking dataExperience chairingDeep expertise in at least two ofStrong command of distributed systemsOutstanding written communicationExperience mentoring StaffMaster’s degree in Computer ScienceData and ML applied in gamingPersonalizationFeatureWhy You’ll Love This Role

Required

15+ years in software, data or machine learning engineering, including 9+ years leading the architecture and delivery of large-scale, complex systems.
A track record of authoring architectures, standards or platforms that were adopted across multiple organizations and stayed in use.
Experience taking data, ML or decisioning systems serving tens of millions of consumers into production and operating them at scale.
Experience chairing, or being the deciding technical voice in, an architecture review forum spanning multiple engineering organizations.
Deep expertise in at least two of: reusable data products, semantic and metadata layers and data contracts; ML platforms, lifecycle management, evaluation and decisioning; real-time signals, distributed inference and activation platforms; experimentation and causal measurement; generative AI, retrieval and agentic systems; responsible AI, privacy and technical governance.
Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability and performance engineering.
Demonstrated ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority.
Outstanding written communication. This role leads through documents.
Experience mentoring Staff, Principal or similarly senior technical professionals.
Master’s degree in Computer Science, Machine Learning, Engineering or a related discipline, or equivalent experience.

Preferred

Data and ML applied in gaming, entertainment, media, digital commerce or another large-scale consumer ecosystem.
Personalization, recommendations, customer intelligence, content intelligence, experimentation or predictive decisioning at scale.
Shared data or ML platforms serving multiple products and organizational domains.
Feature, vector, graph, semantic or knowledge platforms; AI gateways and LLMOps.
Experience translating research or emerging technology into production capabilities.
Contributions to the field through open source, patents, publications, standards or conference talks.
Why You’ll Love This Role
Set the technical direction for data and intelligence across PlayStation.

Senior Principal Engineer, Data & Machine Learning

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Sony Interactive Entertainment

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