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Исследовательская стажировка в известной количественной инвестиционной компании сочетает работу с современными методами ИИ, поддержку опытной команды и задачи высокого уровня для магистрантов и аспирантов.
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Строгие условия отбораАктуальный стек ИИРабота с исследователямиФинансовые исследования
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Research Scientist - Intern [2027 Summer] (Investment Management): Developing AI and machine learning techniques and infrastructure for financial research projects with an accent on deep learning, large language models, reinforcement learning, and noisy data. Focus on writing Python code, running experiments, building data pipelines, and analyzing how financial data influences complex systems.
Location: New York, United States
Salary: $5,000–$5,500 per week, based on academic degree conferred
Company
Financial sciences company applying data analysis, invention, and rigorous inquiry to challenges in investment management, securities, private equity, and venture capital.
What you will do
Develop techniques and/or infrastructure for a specific research project or idea under the guidance of an experienced team member during an approximately 10-week summer internship.
Write code and use current AI and machine learning tools in a research environment.
Run experiments, discuss approaches and results, and develop techniques to improve understanding of how financial data influences the world.
Requirements
Be in the penultimate year of an MS program with prior work experience or a PhD program.
Work toward a degree in Computer Science, Engineering, or another STEM field.
Excellent Python programming skills and deep knowledge of TensorFlow and/or PyTorch.
Internship, work, or course experience using Deep Learning, large language models, and/or Reinforcement Learning.
Understanding of basic statistics.
Experience with cloud computing environments and multi-machine setups.
Curiosity and interest in learning about financial data modeling in a collaborative environment.
Nice to have
Familiarity with Rust or Java.
Practical experience writing and using data pipelines for large amounts of noisy data in machine learning problems.
Relevant research experience, potentially including publications at NeurIPS, ICML, ICLR, or similar venues.
Culture & Benefits
Collaborative research environment involving scientists, technologists, and academics.
Health, dental, and other wellness plans.
401(k) contributions.
Potential eligibility for discretionary bonus compensation.
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