Senior Software Engineer, ML Platform

United States, San Mateo, CA

Job Description

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 Software Engineer, ML Platform

United States, Remote; United States, San Diego, CA; United States, San Mateo, CA

Why PlayStation?

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

Senior Software Engineer, ML Platform - 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 real-time †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). If you’re a software engineer with a strong interest in 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.
ML/AI Pipeline: Build and enhance ML/AI pipelines in partnership with Data Science to support automation, experimentation, continuous integration/delivery, verification/validation, and model monitoring.
Core Infrastructure Development: Develop and maintain core infrastructure for data streaming and processing, applying industry standards and innovative solutions.
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 building reliable software with Java or/and Python
Cloud Competency: Proficiency with common AWS services (EKS/ECS, Kinesis, Lambda, DynamoDB) or their cloud equivalent.
Systems Monitoring and Analytics: Experience with systems monitoring, alerting, and analytics tools like Datadog, Splunk, or AWS CloudTrail
Communication Skills: Strong communication skills to collaborate with multi-functional teams

Preferred Skills

Streaming or SQL at scale: Hands-on with high-volume event pipelines (Kinesis/Kafka/ActiveMQ) and/or SQL over large datasets.
Data Science & Machine Learning: Exposure to Data Science and Machine Learning

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

Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.

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.

Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$193,300—$241,600 USD

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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