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Senior Software Engineer, ML Platform

Remote / Online - Candidates ideally in
San Diego, San Diego County, California, 92189, USA
Listing for: jobr.pro
Remote/Work from Home position
Listed on 2026-01-15
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 193300 - 241600 USD Yearly USD 193300.00 241600.00 YEAR
Job Description & How to Apply Below

Why Playstation?

Play Station 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 Play Station family of products and services including Play Station®5, Play Station®4, Play Station®VR, Play Station®Plus, acclaimed Play Station software titles from Play Station Studios, and more.

Play Station 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 Play Station 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
  • Senior Software Engineer, ML Platform - D2C - SPOC
  • Sony Interactive Entertainment (SIE) Play Station | San Diego, CA
Who We Are

At Sony Interactive Entertainment (SIE) Play Station, we create unforgettable gaming experiences—and we’re equally dedicated to building a world‑class team. As a leader in interactive entertainment, Play Station operates at massive scale, supporting millions of players worldwide and processing billions of transactions annually across our digital ecosystem.

The Our Store Publishing Operations & Commerce (SPOC) team is responsible for ensuring trust, security, and seamless transactions across Play Station’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, Dynamo

    DB) or their cloud equivalent.
  • Systems Monitoring and Analytics
    :
    Experience with systems monitoring, alerting, and analytics tools like Datadog, Splunk, or AWS Cloud Trail.
  • 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/Active

    MQ) 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 Play Station.

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,…

Position Requirements
10+ Years work experience
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