Senior Principal Engineer, Data & Machine Learning

PlayStation Global, United States, San Mateo, CA +1

The role

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.

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.

Posted pay

$304K–$456K

a year

Compared with similar jobs

This base pay is above the median for principal ML and AI engineering jobs in the Bay Area.

Median: $312K a year
Other jobs in the group: 53

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location

United States, San Mateo, CA +1

Work type

Not given

Level

Principal

Experience

15+ years

Posted

Sep 10, 2026

Last check

4 h ago

Job type

ML / AI engineering, Inference & ML systems

The role

Why Sony Interactive Entertainment?

Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

What you will do

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.
Advise senior executives on major technical investments, tradeoffs, emerging capabilities and long-term risk; produce the written recommendations that drive annual planning.
Connect technical investment to named consumers, decisions and measurable outcomes; define how we measure adoption, reuse, time-to-action, quality, reliability, safety and cost.
Lead a community of Principal Engineers; mentor Principal, Staff and Senior engineers, architects, ML engineers and data scientists.
Represent SIE’s data and machine learning direction in senior leadership forums, partner organizations and, where appropriate, the broader industry.

Senior Principal Engineer, Data & Machine Learning

The role

Senior Principal Engineer, Data & Machine Learning

The role

What you will do

What You’ll Own

What You’ll Do

What you need

Nice to have

Sr. Principal Engineer, Data & Machine Learning

Why PlayStation Data & Intelligence

About PlayStation Global

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