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4 дня назад

NLP Algorithm Engineer Intern

Формат работы
remote (только APAC)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
NLP Algorithm Engineer Intern (Python/LLM/NLP): Developing LLM-based Q&A systems, agents, algorithmic workflows, and core NLP models with an accent on prompt optimization, tool use, semantic matching, and classification. Focus on implementing multi-turn dialogue, fine-tuning Transformer/BERT-based models, cleaning data, and analyzing model performance.

Location: APAC - Remote

Company

hirify.global is a cryptocurrency exchange and digital financial platform serving users across more than 200 countries and regions, with products spanning trading, payments, wealth management, custody, institutional services, and Web3.

What you will do

  • Develop LLM-based Q&A systems, agents, and algorithmic workflow applications.
  • Design and optimize prompts and workflows to improve model performance.
  • Implement tool use through function calling and foundational multi-turn dialogue logic.
  • Build NLP capabilities for text classification, information extraction, and semantic matching.
  • Train and optimize small-scale classification and labeling models.
  • Clean data, perform basic feature engineering, and analyze results.

Requirements

  • Proficiency in Python, strong problem-solving skills, and good coding practices.
  • Knowledge of common NLP tasks and standard methodologies, including text classification, NER, and semantic matching.
  • Ability to independently train and fine-tune simple classification or labeling models.
  • Understanding of Transformer and BERT architectures, training objectives, and application scenarios.
  • Experience with large language models, including API usage and basic prompt engineering.
  • Understanding of agent fundamentals such as tool use and multi-turn dialogue, or experience implementing them.

Nice to have

  • Hands-on experience with Q&A systems, chatbots, or RAG frameworks.
  • Strong foundations in machine learning and deep learning.
  • Proficiency in Java or experience with backend development, API design, and service implementation.
  • Course projects, personal projects, or open-source contributions.

Culture & Benefits

  • Study Growth Fund supporting professional development and continuous learning.
  • Internal team-building activities, workshops, and collaboration events.
  • Collaboration with an international team.
  • Career advancement and internal mobility opportunities.

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