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19 часов назад

Senior Machine Learning Engineer (Applied AI)

139 000 - 218 000$
Формат работы
remote (только USA)
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

Senior Machine Learning Engineer (Applied AI): Building and deploying intelligent, privacy-aware features for the Firefox browser with an accent on LLM integration and generative AI applications. Focus on end-to-end model development, including fine-tuning, RAG implementation, and production experimentation to enhance user experience while safeguarding data.

Location: Must be based in the US

Salary: $139,000–$218,000 USD

Company

hirify.global is a mission-driven, non-profit-backed technology company dedicated to keeping the internet open, free, and accessible to everyone.

What you will do

  • Develop and fine-tune LLMs for responsive and safe browser interactions.
  • Apply RAG, summarization, and intent modeling techniques to real-world browser workflows.
  • Manage the end-to-end model lifecycle using modern ML tooling like Hugging Face and LangChain.
  • Collaborate with product and engineering teams to design and launch user-facing AI features.
  • Design and implement production experiments to test model behavior and iterate based on performance data.
  • Document technical work and participate in code reviews and design discussions.

Requirements

  • 4+ years of experience in applied machine learning, specifically in NLP or generative AI.
  • Hands-on experience fine-tuning and evaluating LLMs using open-source libraries.
  • Strong understanding of prompt engineering, embedding-based retrieval, and evaluation strategies.
  • Proven track record of building user-facing AI features with a focus on privacy and latency.
  • Ability to lead end-to-end model development from data exploration to deployment.
  • Must be based in the US to comply with regional hiring requirements.

Nice to have

  • Familiarity with on-device model optimization or privacy-preserving ML.
  • Experience working in a browser context or with web technologies.
  • Contributions to open-source ML frameworks or model hubs.

Culture & Benefits

  • Generous performance-based bonus plans.
  • Comprehensive medical, dental, and vision coverage.
  • Generous retirement contributions with 100% immediate vesting.
  • Quarterly all-company wellness days and well-being stipends.
  • Annual professional development budget and home office stipend.
  • Paid parental leave and country-specific holidays.

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