AI Research Scientist - Internship [2027 Summer]

AI Research Scientist - Internship (Summer 2027)

Location: NY, New York, United States

Business: Investment Management

Function: Quantitative Research

Experience Level: Internship

Two Sigma is a financial sciences company that combines data analysis, invention, and rigorous inquiry to 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 complex economic problems. We seek creative experts interested in applying general machine learning, including deep learning, large language models, and reinforcement learning techniques to problems in complex systems with large amounts of noisy data.

This role is open to MS students with work experience or PhD students in their penultimate year of study.

Responsibilities

• Develop techniques and/or infrastructure for a specific project under the guidance of an experienced team member over approximately 10 weeks during the summer.
• Write code, use the latest AI and machine learning tools, run experiments, discuss approaches and results with others, and develop techniques and processes to improve understanding of how financial data influences the world around us.

Qualifications

• Working toward a degree in Computer Science, Engineering, or another STEM field, preferably in a PhD program, or in a Master’s program with 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 experiences, or coursework related to 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 relevant research experience that may lead to publications (e.g., 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.

Compensation & Benefits

The weekly base pay for this role is between $5,000 per week (MS) and $5,500 per week (PhD), based on the academic degree conferred. This role may be eligible for additional compensation and benefits, including discretionary bonus, health, dental, wellness plans, and 401(k) contributions. Actual compensation will be determined based on skills, qualifications, and experience.

Equal Opportunity

We are proud to be an equal opportunity workplace. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, veteran status, disability, or any other legally protected characteristics.