Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Senior ML/AI Software Engineer

Location: U.S, Remote; United Kingdom, Remote; Belgium, Remote

 

Who We Are

At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we're just as committed to building a world-class team. As a leader in interactive entertainment, PlayStation operates at a massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem.

Our Store Publishing Operations & Commerce (SPOC) team is responsible for ensuring trust, security, and seamless transactions across PlayStation’s digital store. We provide data-driven solutions to support platform services, customer experience, payments, fraud prevention, and risk management. By using advanced analytics and machine learning/AI, we assist in protecting the commerce ecosystem, facilitating business growth, and optimizing player experiences.

About the Role

We are seeking a Senior ML/AI Engineer to lead the design, optimization, and deployment of large-scale automation efforts, utilizing LLMs and generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams.

The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You’ll partner closely with devOps, data science, and data engineering to deploy scalable, reliable, and cost-efficient automation solutions that increase efficiencies, and accelerates innovation across the organization.

Key Responsibilities

Automate Workflows: Architect, build, test, and monitor AWS-based workflows to solve critical business problems

Microservices and APIs: Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience.

Service Availability: Guarantee high levels of service availability through participation in an on-call rotation, following best practices for disaster recovery and business continuity.

Automated Deployment: Ensure all work is deployed in an automated, repeatable fashion, optimizing infrastructure for cost and efficiency.

Qualifications and Education Requirements

Educational Background: Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development.

Coding Proficiency: Demonstrated experience with Java and Python.

Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS.

Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail.

Communication Skills: Demonstrated success in cross-functional collaboration.

LLM Expertise: Proven experience developing, evaluating and orchestrating agentic workflows

MLOps and Distributed Systems: