FlexHired LogoFlexHired
Logo of PlayStation

PlayStation

Sr. Machine Learning Software Engineer

Job Summary

This role involves developing and maintaining machine learning and AI pipelines, designing cloud solutions on AWS, and ensuring high system availability and reliability. The candidate should have experience with cloud infrastructure, data streaming, container orchestration, and systems monitoring. Strong programming skills in Java and Python, along with knowledge of AWS services and Linux, are required. The position emphasizes automation, scalability, and real-time risk mitigation within a large-scale digital ecosystem for PlayStation's digital store.

Required Skills

Python
Scripting
Machine Learning
AI
AWS
Automation
Java
Cloud Computing
Kubernetes
Data Processing
Linux
System Monitoring
Data Streaming
Container Orchestration
Business Continuity
Disaster Recovery
Streams Processing

Benefits

Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
401(k) matching
Wellness Program
Employee Discounts

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.

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.

#LI-KB2

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.
$172,100$258,100 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.

Interested in this job?

Application deadline: Open until filled

Logo of PlayStation

PlayStation

Explore the new generation PlayStation 4 and PS5 consoles - experience immersive gaming with thousands of hit games in every genre to rewrite the rules for what a PlayStation console can do.

See more jobs
Date PostedJuly 15th, 2025
Job TypeFull Time
LocationUnited States, Remote; United States, San Diego, CA; United States, San Mateo, CA
Salary$172,100 - $258,100
Exciting remote opportunity (requires residency in Canada) for a Sr. Machine Learning Software Engineer at PlayStation. Offering $172,100 - $258,100 (full time). Explore more remote jobs on FlexHired!

Safe Remote Job Search Tips

Verify Employer Thoroughly

Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.

Never Pay to Get a Job

Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.

Safeguard Your Personal Information

Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.

Scrutinize Communication & Interviews

Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.

Beware of Unrealistic Offers

If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.

Insist on a Formal Contract

Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.

Subscribe Newsletter

Never miss a remote job opportunity. Subscribe to our newsletter today and receive exclusive job alerts, career advice, and industry insights delivered straight to your inbox.