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6 дней назад

Principal Machine Learning Engineer (AI)

232 200 - 303 150$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
principal
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

Principal Machine Learning Engineer (AI): Designing and building novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling with an accent on fine-tuning, post-training, and retrieval-augmented strategies to adapt foundation models to hirify.global’s data. Focus on driving POC experimentation, from agentic workflows to novel GenAI-powered assistants, and transitioning prototypes into scalable systems.

Location: Remote (United States)

Salary: $232,200 - $303,150 (Zone A)

Company

hirify.global's software products help teams all over the planet and their solutions are designed for all types of work.

What you will do

  • Design and build novel approaches for knowledge-grounded LLMs, embeddings, and multimodal modeling.
  • Drive POC experimentation, from agentic workflows to novel GenAI-powered assistants.
  • Act as the technical anchor of a small tiger team, mentoring engineers and scientists.
  • Influence design and implementation across retrievers, rankers, orchestration, and serving infrastructure.
  • Partner with product and platform teams to transition prototypes into scalable systems.
  • Contribute to the roadmap for the Forge as a global hub for advanced GenAI modeling and applied research.

Requirements

  • Extensive experience in ML/AI engineering (generally 6+ years), with deep expertise in LLMs, NLP, or search.
  • Proven track record of building and shipping ML-powered or GenAI-integrated products.
  • Hands-on experience with retrieval-augmented generation (RAG), embeddings, hybrid retrieval, or agentic workflows.
  • Strong background in scaling ML systems from prototype to production.
  • Expert-level knowledge of GenAI ecosystems (OpenAI, Anthropic, Mistral, OSS) and fine-tuning/serving frameworks.
  • Deep technical skills across modeling, infrastructure, and orchestration (LangChain, LlamaIndex, vector DBs).

Nice to have

  • Experience with multimodal models, knowledge graphs, or semantic embeddings.
  • Familiarity with evaluation metrics for search/GenAI (NDCG, groundedness, human preference modeling).
  • Contributions to open-source ML frameworks or GenAI research communities.
  • Passion for mentoring, fostering innovation, and shaping a new AI hub in Singapore.

Culture & Benefits

  • hirify.globals can choose where they work – whether in an office, from home, or a combination of the two.
  • hirify.global offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
  • Offerings include health and wellbeing resources, paid volunteer days, and so much more.

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