Sr. Machine Learning Software Engineer

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.

Sr. Machine Learning Software Engineer - D2C - SPOC
Sony Interactive Entertainment (SIE) PlayStation | San Diego, CA

Who We Are
At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we’re equally dedicated to building a world-class team. As a leader in interactive entertainment, PlayStation operates at 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. Using advanced analytics and machine learning/AI, we help protect the commerce ecosystem, facilitate business growth, and optimize player experiences.

About the Role
This position is a hands-on engineering role with a broad range of responsibilities, from evolving and supporting machine learning/AI pipelines to building low-latency, high-throughput systems. You should be well-versed in running applications at internet scale on modern cloud architectures (e.g., AWS) using containerized and serverless workflows. If you’re passionate about large-scale machine learning projects, experimentation, automation, or real-time risk mitigation, we’d love to connect with you.

Key Responsibilities

• Create Cloud Solutions: Design and implement cloud solutions using AWS to ensure high performance, scalability, and reliability.

• Core Infrastructure Development: Develop and maintain core infrastructure for data streaming and processing, applying industry standards and innovative solutions.

• ML/AI Pipeline Enhancement: Build and enhance ML/AI pipelines supporting automation, experimentation, continuous integration/delivery, verification/validation, and model monitoring.

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

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

Qualifications and Education Requirements

• Educational Background: Bachelor’s degree with 5+ years of related experience

• Coding Proficiency: Demonstrated experience with Java and Python

• AWS Services Competency: Proficiency with common AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, SQS)

• Systems Monitoring and Analytics: Experience with systems monitoring, alerting, and analytics tools like Datadog, Splunk, New Relic, or AWS CloudTrail

• Communication Skills: Strong communication skills to collaborate with multi-functional teams

• Container Orchestration: Experience with container orchestration and management (e.g., Kubernetes)

• Data Science & Machine Learning: Basic knowledge of Data Science, Machine Learning, and Large Language Models (LLMs)

Preferred Skills

• AWS Certification

• Stream Processing Expertise: Experience with streams at internet scale (e.g., Kinesis, Kafka, ActiveMQ)

• Linux Knowledge: General knowledge of Linux

We sincerely appreciate the time and effort you’ve spent in contacting us, and we thank you for your interest in PlayStation.

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