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4 дня назад

Senior Software Development Engineer in Test (ML)

183 000 - 274 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Software Development Engineer in Test (ML): Leading quality efforts for machine learning-powered products and services with an accent on validating probabilistic systems and building scalable test automation. Focus on score distributions, cohort-level behavior, and ensuring the production readiness of ML inference services at global scale.

Location: Hybrid in San Mateo, USA

Salary: $183,000 — $274,600 USD

Company

A global leader in gaming and interactive entertainment, developing the hirify.global ecosystem.

What you will do

  • Design and maintain automated test frameworks for ML inference services using Python or Java.
  • Validate probabilistic model signals, including score distributions and ranking behavior, prior to release.
  • Conduct functional, integration, regression, and API testing for microservices and RESTful APIs.
  • Execute performance and load testing to verify service scalability and latency under production conditions.
  • Collaborate with ML engineers and ops teams to ensure full automated test coverage within CI/CD pipelines.
  • Debug model anomalies and analyze test failures to drive high engineering quality standards.

Requirements

  • 3-5 years of experience as an SDET focusing on backend systems.
  • Proficiency in Python, Java, Scala, or Go for test automation.
  • Experience with API testing tools (Postman) and CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD).
  • Hands-on experience with cloud/container technologies including AWS, GCP, Kubernetes, and Docker.
  • Knowledge of monitoring tools such as Prometheus, Grafana, or Datadog.
  • Must be based in or able to work hybrid in San Mateo, USA.

Nice to have

  • Experience testing recommendation or search ranking systems.
  • Skill in evaluating model outputs using statistical techniques and distribution analysis.
  • Knowledge of feature stores, inference systems (Seldon, KServe), and data pipelines.
  • Experience with load testing tools like Locust, k6, or JMeter.
  • Familiarity with Databricks or similar ML platforms.

Culture & Benefits

  • Competitive base pay with potential bonus packages.
  • Top-tier benefits including medical, dental, and vision insurance.
  • Matching 401(k) and paid time off.
  • Wellness programs and employee discounts for Sony products.
  • Collaborative environment celebrating diversity across engineering teams on four continents.

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