Software Development Engineer in Test, MLAI

Why Sony Interactive Entertainment

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Software Development Engineer In Test ML/AI

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Were building a team that thrives on collaboration curiosity and delivering real value. Come help us make a difference!

Overview

We are hiring a Software Engineer in Test specializing in ML/AI quality including automation for model evaluation LLM-assisted test generation and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex cross-functional machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish ensuring teams stay synchronized dependencies are managed and releases are delivered confidently. You will work closely with ML engineering product and infrastructure teams. You will shape how quality is built monitored and expanded while leading embedded QE efforts within projects.

What youll do

• Define and complete quality strategies test plans and automation coverage for ML-powered services and platform components.
• Use LLMs and other AI-assisted techniques to generate expand and maintain high-value test cases for ML-powered workflows.
• Design scenario-based test suites for AI features including adversarial prompts edge cases ambiguous inputs and underrepresented user scenarios.
• Lead QE efforts for multi-functional projects driving risk assessment dependency management and release readiness.
• Design develop and maintain scalable automation frameworks for backend services APIs and ML inference systems using Python and/or Java.
• Build automated validation for ML and LLM outputs including ranking behavior score distributions prompt/response quality hallucination indicators and probabilistic model evaluation.
• Debug test failures service anomalies model inconsistencies and AI behavior regressions to identify root causes and drive resolution.
• Perform functional integration regression API end-to-end performance and reliability testing for distributed systems.
• Improve automation reliability reduce flakiness and optimize execution efficiency.
• Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows.
• Collaborate across teams to establish scalable quality standards tooling and guidelines.

Required qualifications

• Bachelors degree in Computer Science or equivalent practical experience.
• 3 years of experience as an SDET or QE engineer focused on backend and distributed systems.
• Experience using LLMs to generate transform and prioritize test cases for AI-powered experiences.
• Experience with AI evaluation tooling prompt evaluation frameworks model monitoring or human-in-the-loop review workflows.
• Strong experience testing RESTful APIs microservices and distributed architectures.
• Proficiency in Python Java JS or similar languages for automation development.
• Hands-on experience with automation frameworks such as pytest JUnit Selenium Playwright Cypress or Appium.
• Experience with CI/CD systems and test pipelines (Jenkins GitHub Actions etc.).
• Experience with cloud and container technologies (AWS GCP Kubernetes Docker).
• Familiarity with databases monitoring and observability tools.
• Strong understanding of SDLC Agile methodologies and release processes.
• Excellent problem-solving debugging and communication skills.

Preferred qualifications

• Experience validating ML outputs using statistical analysis or scenario-based testing approaches.
• Familiarity with ML infrastructure data pipelines or model-serving platforms (Seldon KServe Ray Serve etc.).
• Prior work in content moderation ML security fraud detection or adversarial ML.
• Experience testing high-scale low-latency online services.
• Experience with Databricks or similar ML platform tooling.
• Familiarity with React or modern frontend technologies.
• Experience testing mobile console or other non-PC platforms.

What sets you apart

• Strong combination of automation engineering and delivery ownership.
• Ability to drive quality across complex cross-functional initiatives.
• Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions.
• Proven risk management and dependency coordination skills.
• Ability to influence engineering teams and promote quality guidelines.
• Passion for scalable reliable and maintainable automation systems.

Please note Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

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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.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.