Назад
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17 часов назад

Staff Software Engineer (AI)

204 000 - 255 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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

Staff Software Engineer (AI): Leading the technical vision for ML-powered messaging features, architecting and delivering intelligent capabilities end-to-end, and raising the engineering bar. Focus on designing, building, and operating high-scale systems that serve ML models, and solving complex open-ended problems at the intersection of ML and product engineering.

Location: This position is US - Remote Eligible. You must live in a state where hirify.global, Inc. has a registered entity. The role may include occasional work at an hirify.global office or attendance at offsites.

Salary: $204,000–$255,000 USD

Company

hirify.global was born in 2007 and has grown to over 5 million hosts welcoming over 2 billion guests globally, offering unique stays and experiences.

What you will do

  • Define and drive the technical strategy for integrating ML capabilities into hirify.global's messaging products.
  • Own the full lifecycle of ML-powered features from prototyping to iteration.
  • Design, build, and operate high-latency, reliable, and scalable systems for ML models within the messaging stack.
  • Write and review technical designs for complex, open-ended problems in ML and product engineering.
  • Partner with ML, data science, and product teams to identify opportunities and ensure production impact.
  • Mentor, guide, and support the career growth of individual contributors.

Requirements

  • 9+ years of relevant engineering hands-on work experience.
  • Bachelors, Masters, or PhD in CS or related field.
  • Demonstrated experience building and shipping ML-powered product features in production.
  • Exceptional architecture abilities and experience with large, high-scale applications.
  • Familiarity with NLP/NLU techniques and large language models (LLMs).
  • Experience operating distributed, real-time systems at scale with high reliability.
  • Technical leadership and strong communication skills to translate between ML research, product goals, and engineering execution.

Culture & Benefits

  • Committed to working with the broadest talent pool possible, fostering diverse ideas, innovation, and engagement.
  • Provides a disability-inclusive application and interview process.
  • Eligible for bonus, equity, benefits, and Employee Travel Credits.

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