Proprietary Trading
AI Research Scientist - Internship [2026 Summer]
at Two Sigma
InternshipNo visa sponsorship
Posted 7 days ago
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Two Sigma seeks an AI Research Scientist Intern to develop innovative machine learning techniques, specifically Deep Learning, LLMs, and Reinforcement Learning, for financial data analysis during a 10-week summer project under expert guidance. Interns must be MS students with work experience or PhDs in their penultimate year, with strong programming (Python, TensorFlow/PyTorch) and research skills, including experience with noisy datasets and cloud computing.
- Compensation
- $5,000 – $5,500 USD
- City
- New York
- Country
- Not specified
Currency: $ (USD)
Full Job Description
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
We are looking for creative experts who are interested in applying general Machine Learning and specifically Deep Learning, Large Language Models, and Reinforcement Learning techniques to many types of problems in complex systems, and particularly those with large amounts of noisy data.
This role is only open to MS with work experience and PhDs, both in their penultimate year of study.
You will take on the following responsibilities:
- Develop effective techniques and/or infrastructure for a specific project/idea under guidance of an experienced member of the team over a time of roughly 10 weeks during the summer
- In our research environment, you will write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and generally develop techniques and processes to help improve our understanding of how financial data influences the world around us
You should possess the following qualifications:
- Working towards a degree in Computer Science, Engineering, or other STEM field, preferably in a PhD program, or in a Master’s program with some prior work experience
- Excellent programming skills in Python (familiarity with Rust/Java is a plus) and deep knowledge of Tensorflow and/or PyTorch
- Internships/work/course experience using Deep Learning, LLMs and/or Reinforcement Learning
- Preferably practical experience writing and using data pipelines to handle large amounts of noisy data for machine learning problems
- Preferably some relevant research experience (that may have led to publications at NeurIPS, ICML, ICLR or similar)
- 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
