Senior Software Engineer, Machine Learning Platform

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 (IP) 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.

Sony Interactive Entertainment LLC seeks a Senior Software Engineer, Machine Learning Platform in San Diego, CA to architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency.

• Master’s degree in Computer Science or related field or equivalent and five (5) years of experience designing and deploying low-latency, high-throughput inference systems supporting computer vision and multimodal models including CNNs, segmentation and object detection; building large-scale distributed systems in Scala using reactive frameworks, multithreading, and Guice dependency injection; integrating enterprise feature stores to ensure consistent, low-latency feature delivery; developing ML inference services within Bazel-based monorepos ensuring hermetic builds and seamless integration with secure enterprise CI/CD pipelines (Prow); extending GitHub Prow workflows by writing Golang plugins/controllers to automate reviews, enforce policies, and coordinate multi-repo build/test/deploy pipelines; utilizing Pulumi to provision and manage scalable, reproducible, and cloud-agnostic inference environments; applying formal methods and computational theory to enhance scalability, reliability, and performance of distributed inference algorithms; optimizing ML algorithms in Scala, Java, and Go to improve memory efficiency, hardware utilization, and runtime speed; designing advanced observability frameworks with distributed tracing, model drift detection, and performance analytics; and standardizing ML platform practices while mentoring engineers and aligning architecture with MLOps, compliance (GDPR, SOC2), and scalability standards.
  
  
• Telecommuting and/or working from home may be permissible pursuant to company policies.

At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.