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Senior Machine Learning Engineer (AI)

196 000 - 227 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
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 Machine Learning Engineer (AI): Developing and scaling Agentic AI technologies for customer service applications with an accent on LLM orchestration, RAG, and autonomous reasoning pipelines. Focus on shipping production-grade ML systems that transform guest and host experiences through proactive, intelligent assistance.

Location: US-Remote Eligible. Must reside in a state where Airbnb, Inc. has a registered entity.

Salary: $196,000 – $227,000 USD

Company

Airbnb is a global platform connecting millions of hosts and guests through unique stays and experiences.

What you will do

  • Champion the development of novel ML systems and product integrations to solve real-world customer service challenges.
  • Design and build efficient AI solutions for CS products in collaboration with product, design, and engineering teams.
  • Develop and enhance AI models, ML services, and agentic architectures including voice and chat assistants.
  • Implement SOTA techniques such as SFT, reinforcement learning, RAG, and LLM evaluation frameworks.
  • Shape AI initiatives from conceptual stages through to production deployment.

Requirements

  • PhD or Master's degree with 6+ years of experience in Computer Science, ML, or AI.
  • Hands-on expertise in LLM pretraining, fine-tuning (SFT, RLHF, GRPO), and prompt engineering.
  • Experience building Agentic AI systems including multi-agent orchestration, tool-use, and autonomous reasoning.
  • Proven track record of shipping production-grade ML/AI systems at scale with deep MLOps knowledge.
  • Must have legal work authorization in the United States and reside in a state with a registered Airbnb entity.
  • Excellent communication and cross-functional collaboration skills.

Culture & Benefits

  • Competitive base pay with potential for bonus, equity, and benefits.
  • Employee Travel Credits.
  • Commitment to diversity, inclusion, and belonging.
  • Supportive environment with reasonable accommodations for candidates with disabilities.
  • Opportunities to work on cutting-edge AI technologies at a global scale.

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