Senior Principal Engineer, Data & Machine Learning
PlayStation Global3 days ago
Base Salary
$304k - $456k/yr
Responsibilities
- Translate the Data & Intelligence strategy into technical strategy, target architecture, principles, and lifecycle standards.
- Chair the architecture review forum, publish decisions, track adoption, and enforce conformance across engineering organizations.
- Define reusable platform and domain boundaries, data contracts, golden paths, model evaluation, experimentation, observability, reliability, cost, and lifecycle standards.
- Lead architecture and delivery for complex data, machine learning, intelligence, measurement, activation, and enterprise decision-data initiatives.
- Author proposals, reference designs, and prototypes, and work directly with engineering and data science teams to remove critical blockers.
- Partner with security, privacy, legal, governance, and responsible-AI teams to embed controls throughout data and ML systems.
- Rationalize duplicative capabilities and improve interoperability across SIE’s data and machine learning landscape.
- Advise senior executives on technical investments, tradeoffs, emerging capabilities, risks, and annual planning.
- Define measures for adoption, reuse, time-to-action, quality, reliability, safety, and cost.
- Lead a community of Principal Engineers and mentor Principal, Staff, Senior engineers, architects, ML engineers, and data scientists.
- Represent SIE’s data and machine learning direction in senior leadership, partner, and industry forums.
Requirements
- 15+ years of experience in software, data, or machine learning engineering, including 9+ years leading architecture and delivery of large-scale complex systems.
- Proven record of authoring architectures, standards, or platforms adopted and sustained across multiple organizations.
- Experience taking data, ML, or decisioning systems serving tens of millions of consumers into production and operating them at scale.
- Experience chairing or serving as the deciding technical voice in architecture review forums spanning multiple engineering organizations.
- Deep expertise in at least two areas including reusable data products, semantic and metadata layers, data contracts, ML platforms, lifecycle management, evaluation, decisioning, real-time signals, distributed inference, activation platforms, experimentation, causal measurement, generative AI, retrieval, agentic systems, responsible AI, privacy, or technical governance.
- Strong command of distributed systems, cloud, data architecture, APIs, security, reliability, observability, and performance engineering.
- Ability to influence senior executives, engineering and product leaders, and cross-functional partners without direct authority.
- Outstanding written communication and experience leading through technical 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 experience applying data and ML in gaming, entertainment, media, digital commerce, or other large-scale consumer ecosystems.
- Preferred experience with personalization, recommendations, customer or content intelligence, experimentation, predictive decisioning, shared data or ML platforms, feature/vector/graph/semantic/knowledge platforms, AI gateways, LLMOps, or translating research into production capabilities.
- Contributions through open source, patents, publications, standards, or conference talks are a plus.
Benefits
- Top-tier benefits include medical, dental, vision, matching 401(k), paid time off, wellness programs, and employee discounts on Sony products.
- The role may be eligible for a bonus package.
- The role is subject to Sony Interactive Entertainment’s hybrid working policy, with individual arrangements varying by location and role factors.
Categories
Data EngineeringML Engineering