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6 дней назад

Senior AI Infra Engineer (LLM/ML)

177 688 - 341 734$
Формат работы
onsite
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
Senior AI Infra Engineer (LLM/ML): Building scalable, reliable, high-performance ML/LLM infrastructure and systems for TikTok E-commerce algorithm services with an accent on system architecture, LLM serving, and inference optimization. Focus on designing high-throughput infrastructure, optimizing latency and memory management, and integrating emerging technologies across complex engineering efforts.

Location: Seattle, United States. The role is transitioning to a fully in-person schedule of up to 5 days per week.

Base salary: $177,688–$341,734 annually, with potential additional bonuses, incentives, and restricted stock units.

Company

hirify.global operates data privacy, cybersecurity, trust and safety, and U.S. user data protection programs for TikTok-related apps and services.

What you will do

  • Lead the design, implementation, and operation of scalable, reliable, high-performance ML/LLM infrastructure.
  • Build user-friendly tools and robust systems supporting TikTok E-commerce algorithm services and GMV growth.
  • Partner with teams, organizations, and internal and external stakeholders on complex engineering initiatives.
  • Drive technical strategy and integrate emerging technologies and novel infrastructure approaches.
  • Improve end-to-end LLM serving performance across latency, throughput, and memory management.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • At least 3 years of hands-on experience building, training, and deploying complex, scalable machine learning systems.
  • Strong knowledge of computer science fundamentals, including algorithms, data structures, software design patterns, and problem-solving.
  • Strong programming skills and understanding of ML/LLM system internals.
  • Experience managing technical projects and delivering results.
  • Ability to work fully in person in Seattle, up to 5 days per week.

Nice to have

  • In-depth experience with large language model systems and infrastructure.
  • Experience with high-performance LLM serving frameworks such as vLLM or SGLang.
  • Deep understanding of the full LLM serving stack and end-to-end inference optimization.

Culture & Benefits

  • Medical, dental, and vision insurance from the first day.
  • 401(k) savings plan with company match.
  • Paid parental leave, disability coverage, life insurance, and wellbeing benefits.
  • 10 paid holidays, 10 paid sick days, and 17 days of paid personal time.
  • Inclusive workplace focused on creativity, curiosity, collaboration, resilience, and continuous innovation.

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