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14 часов назад

Machine Learning Engineer (Generative AI)

212 000 - 260 000$
Формат работы
remote (только USA)/hybrid
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

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TL;DR

Machine Learning Engineer (Generative AI): Developing intelligent and scalable service experiences for Community Support Products with an accent on LLM fine-tuning, RAG, and Agentic AI. Focus on transforming customer service through the design and production of personalized and proactive AI-driven solutions.

Location: Remote Eligible (Must be based in a US state where hirify.global has a registered entity)

Salary: $212,000 — $260,000 USD

Company

A global marketplace that connects hosts and guests through unique stays and experiences.

What you will do

  • Envision and champion the development of novel ML systems and performance optimizations to solve real-world problems.
  • Work cross-functionally with product and design teams to build efficient AI solutions for customer support products.
  • Develop AI models and tools, including LLM fine-tuning, RAG/Search, and evaluation automation.
  • Turn visionary conceptual ideas into impactful production-ready realities.
  • Share the latest AI/ML technologies and research with the broader engineering team.

Requirements

  • PhD/Master’s degree in Computer Science or equivalent professional experience.
  • 9+ years of ML engineering experience with ownership of large-scale software systems.
  • Strong background in the design and development of scalable ML-powered products.
  • Excellent communication skills for collaboration across engineering, product, and design organizations.
  • Must reside in a US state where hirify.global, Inc. has a registered entity.

Nice to have

  • Experience with LLM-driven chatbots.
  • Experience with Agentic AI products.

Culture & Benefits

  • Comprehensive benefits package including bonus and equity.
  • Employee Travel Credits for experiencing the product firsthand.
  • Commitment to inclusion, belonging, and a diverse talent pool.
  • Flexible remote-eligible work environment with occasional office attendance or offsites.

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