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13 часов назад

AI / Extraction Engineer (Fintech)

165 000 - 185 000$
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

Текст:
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TL;DR
AI / Extraction Engineer (Fintech): Building and improving production machine-learning and LLM systems for a private-market investing platform with an accent on model quality, evaluation, and extraction capabilities. Focus on fine-tuning models, designing feedback loops and monitoring tooling, and shipping reliable ML-powered features.

Location: Fully remote within the United States for candidates eligible to complete Form I-9. Travel is required for team and department offsites, and an in-person interview may be required.

Salary: $165,000–$185,000 base per year, plus potential bonus, equity, and benefits.

Company

hirify.global provides a digital platform and institutional-grade infrastructure for RIAs and family offices to discover, model, and manage private-market investments.

What you will do

  • Build, train, and improve machine-learning models for production use.
  • Develop evaluation and feedback loops that improve model performance over time.
  • Build tooling to measure, monitor, and track model quality.
  • Evaluate new models and techniques and bring the strongest approaches into production.
  • Collaborate cross-functionally to deliver ML-powered capabilities.

Requirements

  • 4+ years of applied ML or LLM engineering experience in production.
  • Strong Python skills and experience taking models from prototype to reliable production systems.
  • Hands-on experience with model fine-tuning and rigorous evaluation.
  • Proficiency with Git and version-control systems.
  • Experience using AI-assisted development tools such as Claude Code, OpenAI Codex, or Cursor, with the ability to adopt emerging tools.
  • Eligibility to complete Form I-9 for employment in the United States.

Nice to have

  • Experience with applied NLP, computer vision, or multimodal models.
  • Experience with MLOps and model-monitoring tooling.
  • Background in fintech or financial data.
  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

Culture & Benefits

  • Client experience is prioritized through responsiveness, proactivity, and high-quality communication.
  • Continuous improvement, experimentation, and challenging conventional approaches are encouraged.
  • Decisions emphasize results, merit, respectful debate, and collective problem-solving.
  • Medical, dental, and vision coverage.
  • 401(k) and responsible vacation time (PTO).
  • A broadband internet connection is required, and compliance with the Code of Ethics is expected.

Hiring process

  • An in-person interview may be required.
  • Travel is required for team and department offsites.

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