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8 часов назад

AI Research Engineer (LLM)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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 Research Engineer (LLM): Developing advanced long-horizon reasoning models and autonomous agents for enterprise financial workflows with an accent on LLM/VLM research and production. Focus on solving complex problems in language understanding, generation, and multimodal AI using rigorous quantitative methodologies.

Company

hirify.global is an early-stage startup building foundational AI platforms for intelligent financial operations, including Agentic Accounting for audit and revenue leakage detection.

What you will do

  • Develop and optimize Large Language Models (LLMs) and Vision-Language Models (VLMs) for complex financial workflows.
  • Apply rigorous quantitative methodologies to solve challenges in language understanding, generation, and multimodal AI.
  • Collaborate on distributed training and model optimization tasks.
  • Communicate research findings effectively to technical stakeholders.
  • Contribute to building a world-class AI team from the ground up.

Requirements

  • Location: Must be based in Palo Alto, CA (On-site role).
  • Direct experience with LLMs or VLMs in research or production environments.
  • Strong research background in NLP, Machine Learning, or related disciplines.
  • Proficiency in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Proven track record in solving complex problems in language modeling.

Nice to have

  • PhD in Computer Science, Computational Linguistics, or a related field.
  • First-authored publications in top-tier conferences like NeurIPS, ICML, ICLR, ACL, or EMNLP.
  • Research expertise in meta-learning, hypernetworks, or Online Continual Learning.
  • Experience with Kaggle competitions.

Culture & Benefits

  • Opportunity to join a high-conviction AI startup at a pivotal growth stage.
  • Direct influence on the company’s trajectory and product development.
  • Work on meaningful, industry-impacting enterprise intelligence solutions.

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