Sony Interactive Entertainment

4 weeks ago

Senior Software Engineer, Machine Learning Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Mentor engineers, align architecture with MLOps and GDPR/SOC2, and build observability for performance and reliability.

Location: San Diego

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency.
•Collaborate across teams to build and maintain ML inference services within secure CI/CD pipelines and multi-repo build/test/deploy workflows.
•Mentor engineers, standardize ML platform practices, and align architecture with MLOps and compliance requirements (GDPR, SOC2).
•Design and optimize ML algorithms for memory efficiency and hardware utilization across Scala, Java, and Go.
•Develop advanced observability, including distributed tracing, model drift detection, and performance analytics.

Pay and Benefits

Salary: USD 187,363 - 265,900 annually

Perks:Health InsuranceDentalVision401kPaid LeaveWellness StipendEmployee Discounts

Key Requirements

•Master’s degree in Computer Science or related field or equivalent and five (5) years of experience designing and deploying low-latency, high-throughput inference systems supporting computer vision and multimodal models including CNNs, segmentation and object detection; building large-scale distributed systems in Scala using reactive frameworks, multithreading, and Guice dependency injection; integrating enterprise feature stores to ensure consistent, low-latency feature delivery; developing ML inference services within Bazel-based monorepos ensuring hermetic builds and seamless integration with secure enterprise CI/CD pipelines (Prow); extending GitHub Prow workflows by writing Golang plugins/controllers to automate reviews, enforce policies, and coordinate multi-repo build/test/deploy pipelines; utilizing Pulumi to provision and manage scalable, reproducible, and cloud-agnostic inference environments; applying formal methods and computational theory to enhance scalability, reliability, and performance of distributed inference algorithms; optimizing ML algorithms in Scala, Java, and Go to improve memory efficiency, hardware utilization, and runtime speed; designing advanced observability frameworks with distributed tracing, model drift detection, and performance analytics; and standardizing ML platform practices while mentoring engineers and aligning architecture with MLOps, compliance (GDPR, SOC2), and scalability standards.
•Telecommuting and/or working from home may be permissible pursuant to company policies.

Experience:5+ yearsMachine learning platformInference systemsScalaGoJava

Education:Master's

Skills:CommunicationTeam leadershipProblem-solving

Languages:English

Tech Stack:ScalaJavaGoBazelPulumiGuiceProwGolangCI/CDMultithreadingReactive frameworks

Company Brief

Sony Interactive Entertainment

Develops and publishes PlayStation hardware, software, and digital services, operating the PlayStation platform and ecosystem for gaming, entertainment, and network services worldwide.

Industry: Gaming

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: San Mateo, United States

Founded: 1993

Website LinkedIn

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Sony Interactive Entertainment

4 weeks ago

Senior Software Engineer, Machine Learning Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Diego

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Architect and lead the design of next-generation ML inference infrastructure to support globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency.
•Collaborate across teams to build and maintain ML inference services within secure CI/CD pipelines and multi-repo build/test/deploy workflows.
•Mentor engineers, standardize ML platform practices, and align architecture with MLOps and compliance requirements (GDPR, SOC2).
•Design and optimize ML algorithms for memory efficiency and hardware utilization across Scala, Java, and Go.
•Develop advanced observability, including distributed tracing, model drift detection, and performance analytics.

Pay and Benefits

Salary: USD 187,363 - 265,900 annually

Perks:Health InsuranceDentalVision401kPaid LeaveWellness StipendEmployee Discounts

Key Requirements

•Master’s degree in Computer Science or related field or equivalent and five (5) years of experience designing and deploying low-latency, high-throughput inference systems supporting computer vision and multimodal models including CNNs, segmentation and object detection; building large-scale distributed systems in Scala using reactive frameworks, multithreading, and Guice dependency injection; integrating enterprise feature stores to ensure consistent, low-latency feature delivery; developing ML inference services within Bazel-based monorepos ensuring hermetic builds and seamless integration with secure enterprise CI/CD pipelines (Prow); extending GitHub Prow workflows by writing Golang plugins/controllers to automate reviews, enforce policies, and coordinate multi-repo build/test/deploy pipelines; utilizing Pulumi to provision and manage scalable, reproducible, and cloud-agnostic inference environments; applying formal methods and computational theory to enhance scalability, reliability, and performance of distributed inference algorithms; optimizing ML algorithms in Scala, Java, and Go to improve memory efficiency, hardware utilization, and runtime speed; designing advanced observability frameworks with distributed tracing, model drift detection, and performance analytics; and standardizing ML platform practices while mentoring engineers and aligning architecture with MLOps, compliance (GDPR, SOC2), and scalability standards.
•Telecommuting and/or working from home may be permissible pursuant to company policies.

Experience:5+ yearsMachine learning platformInference systemsScalaGoJava

Education:Master's

Skills:CommunicationTeam leadershipProblem-solving

Languages:English

Tech Stack:ScalaJavaGoBazelPulumiGuiceProwGolangCI/CDMultithreadingReactive frameworks

Company Brief

Sony Interactive Entertainment

Develops and publishes PlayStation hardware, software, and digital services, operating the PlayStation platform and ecosystem for gaming, entertainment, and network services worldwide.

Industry: Gaming

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: San Mateo, United States

Founded: 1993

Website LinkedIn