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19 часов назад

Software Engineer, ML Infra (AI)

180 000 - 225 000$
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

Текст:
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TL;DR
Software Engineer, ML Infra (AI): Building the infrastructure that trains, serves, and monitors machine learning models for Ads and Recommendations with an accent on distributed systems, model pipelines, feature platforms, and production reliability. Focus on improving training speed, serving performance, offline-online feature consistency, and the stability of large-scale ML systems.

Location: Mountain View, California, United States

Annual base salary: $180,000–$225,000 USD

Company

hirify.global is a content intelligence platform serving personalized local news and information through AI, recommendation systems, and advertising technology.

What you will do

  • Design and develop machine learning infrastructure for Ads and Recommendations products.
  • Own core systems for offline and online model training, model serving, feature authoring, and feature serving.
  • Build and maintain model pipeline health monitoring and proactively address issues affecting production.
  • Improve training speed, serving performance, latency, cost, and offline-online feature consistency.
  • Collaborate with machine learning engineers to build robust production model pipelines.

Requirements

  • Bachelor’s degree in a related field with 5+ years of relevant experience, or an MS/PhD with 3+ years of relevant experience.
  • Experience delivering production systems that support machine learning training or serving use cases.
  • Proven experience building and maintaining large-scale distributed backend systems.
  • Proficiency in Python and strong understanding of object-oriented languages such as C++ or Java.
  • Strong problem-solving, teamwork, and communication skills.

Nice to have

  • Experience leading cross-team projects from design through stable rollout.
  • Experience iterating on machine learning models and shipping them to production.

Culture & Benefits

  • Small, high-ownership team with end-to-end responsibility from design through post-launch improvements.
  • Opportunity to lead projects and mentor others.
  • Health, dental, and vision care for employees and families.
  • 401(k) plan with company matching, paid time off, paid holidays, and paid parental leave.
  • FSA, commuter benefits, and a team activity budget.

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