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22 дня назад

Staff Ml Engineer (Ai)

210 000 - 280 000$
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

Staff Ml Engineer (AI): Develop and optimize semantic search and retrieval-augmented generation (RAG) systems for a startup discovery engine with an accent on improving search precision, recall, and personalized real-time responses. Focus on designing embedding models, ranking pipelines, and cross-team integration to enhance venture capital investment workflows.

Location: New York, USA

Salary: $210,000–$280,000 + Equity

Company

hirify.global focused on building a startup discovery engine that powers venture capital investment workflows with AI-driven search and research tools.

What you will do

  • Lead strategy and roadmap to improve semantic search precision and recall outcomes.
  • Design and build systems for retrieval-augmented generation (RAG) and personalized search leveraging user data.
  • Partner with infrastructure teams to generalize search and RAG architecture for platform-wide use.
  • Drive integration of search features across product engineering teams.

Requirements

  • Location: Must be based in New York or able to work onsite.
  • 5+ years of experience as a machine learning engineer.
  • Proven experience optimizing semantic search, embeddings, vector stores, or ranking pipelines.
  • Hands-on experience with LLM-powered search, RAG implementations, or agentic workflows.
  • Strong systems-level thinking and experience designing data models and indexing strategies.

Culture & Benefits

  • Top-tier health, dental, and vision insurance with 100% premium coverage.
  • 401k matching program.
  • Free lunch and monthly team dinners in office.
  • Commuter benefits.

Hiring process

  • Recruiter screening (20 mins).
  • Technical screening (45 mins).
  • Jam session (2 hours).
  • Behavioral interviews with Head of Engineering and CEO (30 mins each).
  • Reference checks.

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