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2 часа назад

AI Research Scientist (Fintech)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Singapore/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Research Scientist (Fintech): Leading open-ended research projects from concept to production, applying machine learning to achieve state-of-the-art capabilities in complex domains with an accent on combining emerging techniques and models with original research to generate signals from unstructured data. Focus on model design, tools, and infrastructure improvements, collaborating with trading teams to understand requirements and constraints.

Location: New York, London, Singapore

Salary: $200,000 - $300,000 USD

Company

hirify.global Group is committed to world class research, empowering exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries and apply cutting edge research to global financial markets.

What you will do

  • Lead open-ended research projects from concept to production.
  • Apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains.
  • Collaborate extensively with trading teams to understand requirements and constraints.
  • Continuously improve model design, tools, and infrastructure.

Requirements

  • 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia.
  • Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs).
  • Solid development skills in Python and/or C++.
  • Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX.
  • Intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
  • Ability to reason through quantitative problems and communicate effectively with trading researchers.

Nice to have

  • Experience with HPC and distributed large model training.
  • Experience with GPU performance optimization (CUDA or ROCm).
  • Experience with end-to-end model development, especially in LLMs.
  • Prior academic publications and/or contributions to open-source AI research.
  • Strong opinions on best practices in ML research, tooling, and/or infrastructure.

Culture & Benefits

  • Discretionary bonus eligibility.
  • Medical, dental, and vision insurance.
  • HSA, FSA, and Dependent Care options.
  • Paid vacation plus paid holidays.
  • Retirement plan with employer match.
  • Paid parental leave.

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