Sr ML/AI Software Eng at PlayStation Global

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

27 Feb, 26

Salary

265900.0

Posted On

29 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, Backend Engineering, Cloud Infrastructure, Python, Java, AWS, Microservices, Kubernetes, Terraform, CI/CD, Data Science, MLOps, Distributed Systems, Automation, Vector Databases

Industry

Entertainment Providers

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. Who We Are At Sony Interactive Entertainment (SIE) PlayStation, we create unforgettable gaming experiences—and we're just as committed to building a world-class team. As a leader in interactive entertainment, PlayStation operates at a 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. By using advanced analytics and machine learning/AI, we assist in protecting the commerce ecosystem, facilitating business growth, and optimizing player experiences. About the Role We are seeking a Senior ML/AI Engineer to lead the design, optimization, and deployment of large-scale automation efforts, utilizing LLMs and generative AI as appropriate. This role sits at the intersection of machine learning, backend engineering, and cloud-scale infrastructure, focusing on building intelligent systems that power our teams. The ideal candidate has hands-on experience building scalable, automated systems. You combine backend engineering expertise with applied AI knowledge, using technologies like LangChain, vector databases, and LLM APIs alongside microservices, Kubernetes, Terraform, and CI/CD pipelines to create resilient, intelligent systems. You’ll partner closely with devOps, data science, and data engineering to deploy scalable, reliable, and cost-efficient automation solutions that increase efficiencies, and accelerates innovation across the organization. Key Responsibilities Automate Workflows: Architect, build, test, and monitor AWS-based workflows to solve critical business problems Microservices and APIs: Develop microservices for ML-driven applications using Python or Java, ensuring scalability and resilience. Service Availability: Guarantee high levels of service availability through participation in an on-call rotation, following best practices for disaster recovery and business continuity. Automated Deployment: Ensure all work is deployed in an automated, repeatable fashion, optimizing infrastructure for cost and efficiency. Qualifications and Education Requirements Educational Background: Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development. Coding Proficiency: Demonstrated experience with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic, or AWS CloudTrail. Communication Skills: Demonstrated success in cross-functional collaboration. LLM Expertise: Proven experience developing, evaluating and orchestrating agentic workflows MLOps and Distributed Systems: Hands-on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD. Preferred Skills Data Streaming and Orchestration: Familiarity with tools such as Kafka, Flink, Spark, dbt, and Airflow. Multi-Modal LLM Systems: Experience with multi-modal LLM systems (text + image embeddings). AI Observability and Evaluation: Exposure to AI observability, prompt evaluation frameworks, and safety alignment tools. Vector Database Knowledge: Understanding of vector databases and retrieval workflows. PlayStation isn’t just the Best Place to Play - it’s also the Best Place to Work. We’ve thrilled gamers since 1994 when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information 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. We sincerely appreciate the time and effort you 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. $177,300—$265,900 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.

Responsibilities

The role involves leading the design, optimization, and deployment of large-scale automation efforts using machine learning and AI. Responsibilities include automating workflows, developing microservices, and ensuring high service availability.