Why PlayStation?

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 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.

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. 

Role overview:

Within D2C Data Science, the D2C ML Engineering team is the center of excellence for machine learning engineering. We build and operate the in-house machine learning platform that data scientists use to design, deploy, monitor and experiment with the models powering production decisions across the D2C portfolio.

This is a hands-on software engineering role supporting the production use of machine learning. You will build services, pipelines and tools that deliver solutions across payments, fraud prevention and other D2C use cases, including bringing machine learning capabilities into production. You will take ownership of defined components or improvements within our existing architecture, working closely with data scientists and other ML engineers across a globally distributed team. Strong software engineering foundations and a practical understanding of machine learning will help you grow into the wider ML lifecycle.

This role follows a hybrid working arrangement, with work primarily performed remotely and attendance at the Brussels office as needed.

What you'll be doing:

• Contribute to services and pipelines that support activities such as model training, batch or real-time scoring, and production monitoring.
• Develop and maintain data transformations, feature aggregations and integrations using Python or Java and SQL.
• Help integrate model deployments and A/B experiments in partnership with data scientists and other ML engineers.
• Improve automated testing, deployment, monitoring and troubleshooting, and participate in the team’s on-call rotation (no nights).

What we're looking for:

• Master’s degree in Computer Science, Machine Learning or a related field, with 3+ years of relevant experience.
• Strong software engineering foundations, with experience building, deploying and supporting production systems using Python or Java, including monitoring and troubleshooting.
• Ability to use AI-assisted development tools effectively, assess their output, and validate changes through appropriate testing and monitoring.
• Practical understanding of machine learning concepts and workflows, with some experience applying or supporting ML/AI systems and using SQL to prepare and investigate data.
• Ability to work closely with data scientists and product partners across a globally distributed team, and translate their needs into reliable software.

Desirable skills:

• Exposure to fraud, payments, risk, account security or other adversarial e-commerce problem spaces.
• Interest or experience in generative AI applications and agentic workflows.