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2 часа назад

AI Engineer (Fintech)

180 000 - 260 000$
Формат работы
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

Текст:
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TL;DR
AI Engineer (Fintech): Bridging research and engineering to build and scale agentic systems for financial markets with an accent on LLMs, RL agents, and high-performance ML pipelines. Focus on translating state-of-the-art research into robust, scalable production systems within a high-agency, engineering-driven environment.

Location: Must be based in or able to work from New York City or San Francisco (Hybrid)

Compensation: $180,000 – $260,000 + Equity

hirify.global is an AI lab deploying frontier reasoning systems within financial markets, backed by top-tier investors including YC.

What you will do

  • Prototype and scale experimental models including LLMs and RL agents on large-scale real-world data.
  • Build and maintain robust tools and pipelines for model training, evaluation, and analysis.
  • Translate state-of-the-art research papers into high-performance, scalable production systems.
  • Own the full ML lifecycle from data engineering and experimentation to final deployment.
  • Collaborate closely with scientists and founders in a high-agency, engineering-driven environment.

Requirements

  • Strong background in deep learning, reinforcement learning, or computational modeling.
  • Expert-level proficiency in Python and significant experience with ML frameworks like PyTorch, JAX, or TensorFlow.
  • Proven ability to translate research concepts into robust, scalable software systems.
  • Experience with distributed computing and large-scale ML pipelines.
  • Expertise in leveraging modern AI coding tools to maximize productivity while maintaining high code quality.

Culture & Benefits

  • Opportunity to work on AI with massive market impact in a talent-dense, zero-bureaucracy environment.
  • Early-stage team led by repeat founders with a successful track record.
  • Competitive compensation package including equity.
  • Focus on building from first principles in a highly autonomous setting.

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