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4 дня назад

Software Development Engineer In Test (ML)

140 500 - 210 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Development Engineer In Test (ML): Developing and executing automated test frameworks for in-house Inference Services and ML platform components with an accent on scalability, reliability, and performance. Focus on building CI/CD test pipelines, validating productionization of ML models, and ensuring low-latency service health.

Location: Hybrid (United States)

Salary: $140,500 — $210,700 USD

Company

Sony Interactive Entertainment (Playstation) develops high-scale machine learning systems to optimize interactive experiences for millions of users globally.

What you will do

  • Develop and maintain test plans, cases, and automation for the in-house Inference Service and ML platform components.
  • Design and implement integration, regression, and performance test strategies to validate Online Inference service releases.
  • Build and maintain automated testing frameworks and CI/CD test pipelines for production deployments.
  • Collaborate with ML engineering and platform teams to define acceptance criteria and validate ML model productionization.
  • Create performance and load testing suites to verify scalability, latency requirements, and reliability.
  • Track quality metrics, defect trends, and test coverage to provide visibility into release readiness.

Requirements

  • 3-5 years of experience in software quality engineering, test automation, or SDET roles.
  • Proficiency in Python, Java, Scala, or Go.
  • Hands-on experience building automated test frameworks (e.g., pytest, JUnit, TestNG).
  • Experience with cloud and container technologies including AWS, GCP, Kubernetes, and Docker.
  • Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD.
  • Experience with API and service-level testing for distributed systems.

Nice to have

  • Experience testing online services with high RPS and low latency requirements.
  • Exposure to ML platforms, model serving infrastructure, or inference systems (Seldon, KServe, Ray Serve).
  • Experience with performance and load testing tools like Locust, k6, Gatling, or JMeter.
  • Experience with Databricks or similar ML platform tooling.

Culture & Benefits

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Matching 401(k) plan.
  • Paid time off and wellness programs.
  • Exclusive employee discounts for Sony products.
  • Flexible hybrid working policy.

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