Sony Interactive Entertainment
Senior ML/AI Software Engineer
Sony Interactive Entertainment, San Diego, California, United States, 92189
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.
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.
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 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 (EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, 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.
Compensation and Benefits The estimated base pay range for this role is listed below.
$177,300—$265,900 USD
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.
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, 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. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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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.
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 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 (EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, 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.
Compensation and Benefits The estimated base pay range for this role is listed below.
$177,300—$265,900 USD
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.
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, 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. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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