Software Engineer, AI/ML

PlayStation Global•San Diego, CA

8h•$150,000 - $225,000•Hybrid

About The Position

The Direct to Consumer (D2C) Data Science organization comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Within D2C Data Science, the D2C ML Engineering team is seeking a software engineer to help design, build, and support production AI platform capabilities that solve high-value business problems across the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an engineering role focused on turning AI into dependable products, services, and automation. The ideal candidate is a strong software engineer with backend experience and practical hands-on applied AI experience.

Requirements

Bachelor's or Master’s degree in computer science, engineering or related with 2+ years of professional software engineering experience.
Hands-on experience building AI or generative AI features that connect model APIs to business workflows, data, documents, or internal services.
Strong software engineering skills in Python and/or Java, including API development, testing, debugging, asynchronous processing, and maintainable service design.
Experience with AWS or equivalent cloud services
Possesses exceptional communication skills, able to turn business requirements into technical tasks, collaborate across teams, and explain AI tradeoffs in clear, practical terms.

Nice To Haves

Experience with AI orchestration patterns
Experience supporting a production system
Familiarity with Model Context Protocol
Experience with text, image, document, audio, or video models, including multimodal embeddings, OCR/document understanding, or content moderation workflows.

Responsibilities

Create services, workflows, and reusable components for LLM-powered solutions.
Collaborate with stakeholders to understand use cases, identify if and how AI could be used, prototype solutions, measure outcomes, and help move proven capabilities into production.
Develop scalable APIs, microservices, and event-driven workflows in Python or Java, with attention to reliability, resilience, security, cost efficiency, and clean integration with existing services.