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18 часов назад

Software Engineer (ML Infrastructure)

184 000 - 253 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Software Engineer (ML Infrastructure): Design and deliver scalable generative AI services integrated with multiple applications and tenants, focusing on automation, performance tuning, and system efficiency. Focus on building distributed microservice architectures, collaborating with product and research teams, and managing large-scale machine learning infrastructure.

Company

hirify.global develops AI and machine learning platforms enabling rapid deployment of generative and predictive AI applications across clouds.

What you will do

  • Design and deliver scalable generative AI services for thousands of tenants in production.
  • Drive system efficiencies via automation including capacity planning and performance tuning.
  • Participate in on-call rotations for critical issue resolution.
  • Collaborate with Product Managers, Architects, Data Scientists, and Researchers to design and prototype innovative AI technologies.
  • Engage in team discussions on complex AI and system topics.

Requirements

  • 6+ years of ML engineering experience building AI systems or distributed services.
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related STEM field.
  • Experience with distributed microservice architectures on AWS, GCP, or other public clouds.
  • Proficiency in JVM languages (Java, Scala) and Python.
  • Experience with containerized deployment using Kubernetes and related technologies.
  • Strong skills in distributed systems, data storage, messaging, and processing frameworks like Kafka, Spark, Docker, Hadoop.

Nice to have

  • Knowledge of MLOps workflows and ML infrastructure components.
  • Experience with machine learning models for business applications.
  • Familiarity with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or similar large-scale ML technologies.
  • Excellent communication and collaboration skills.

Culture & Benefits

  • Equitable compensation reflecting regional labor markets.
  • Competitive base salary range $184,000 - $253,000 annually, higher in select metro areas.
  • Consideration for applicants with arrest and conviction records in San Francisco and Los Angeles.

Location: United States (San Francisco, Seattle, Palo Alto, Bellevue)

Salary: $184,000 - $253,000 annually

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