Senior ML/AI Software Engineer
Listed on 2026-01-13
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Engineer
Why Play Station
Play Station isn’t just the best place to play—it’s also the best place to work. We are a global leader in entertainment, producing the Play Station family of products and services, and we value diversity, inclusion, and innovation.
About the RoleWe are seeking a Senior ML/AI Engineer to lead the design, optimization, and deployment of large‑scale automation efforts utilizing LLMs and generative AI. This role sits at the intersection of machine learning, backend engineering, and cloud‑scale infrastructure. You’ll partner closely with Dev Ops, data science, and data engineering to deploy scalable, reliable, and cost‑efficient automation solutions that increase efficiencies and accelerate innovation across the organization.
Key Responsibilities- Architect, build, test, and monitor AWS‑based workflows to solve critical business problems.
- Develop microservices for ML‑driven applications using Python or Java, ensuring scalability and resilience.
- Guarantee high levels of service availability through on‑call rotation and best practices for disaster recovery and business continuity.
- Ensure all work is deployed in an automated, repeatable fashion, optimizing infrastructure for cost and efficiency.
- Bachelor’s degree with 6+ years of experience in machine learning, backend engineering, or AI platform development.
- Demonstrated experience with Java and Python.
- Proficiency with common AWS services such as EKS/ECS, Kinesis, Lambda, Dynamo
DB, SNS, and SQS. - Knowledge of systems monitoring, alerting, and analytics using Datadog, Splunk, New Relic, or AWS Cloud Trail.
- Proven experience developing, evaluating, and orchestrating agentic workflows.
- Hands‑on experience with distributed systems and MLOps tooling such as Kubernetes, Docker, MLflow, Airflow, Terraform, and CI/CD.
- Familiarity with data streaming and orchestration tools such as Kafka, Flink, Spark, dbt, and Airflow.
- Experience with multi‑modal LLM systems (text + image embeddings).
- Exposure to AI observability, prompt evaluation frameworks, and safety alignment tools.
- Understanding of vector databases and retrieval workflows.
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. Play Station is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
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