AI Research Scientist Intern 2027 Summer

Two Sigma; New York (NY); On-site; USD 228,000 - 250,000; Full time

Job summary

Two Sigma is seeking creative researchers for a summer project applying general machine learning, deep learning, large language models, and reinforcement learning to complex financial data problems. MS or PhD candidates in penultimate year are encouraged to apply, with opportunities to write code, run experiments, and discuss results in a collaborative research setting.

You will work under guidance on a ~10-week project, leveraging Python and ML frameworks, data pipelines, and cloud compute,

Qualifications

• Working toward an MS or PhD in CS, Engineering or related STEM field.
• Strong Python, TensorFlow/PyTorch; familiarity with Rust/Java is a plus.
• Experience with DL, LLMs and RL in internships or coursework.
• Experience building data pipelines for large noisy data in ML contexts.
• Research experience with publications (NeurIPS/ICML/ICLR or similar) is a plus.
• Solid understanding of basic statistics and ML fundamentals.
• Experience with cloud environments and multi-machine setups.
• Curiosity about financial data modeling in a collaborative setting.

Responsibilities

• Develop techniques/infrastructure for a project over ~10 weeks during summer.
• Write code, run experiments, and discuss results using modern AI/ML tools.
• Collaborate to improve understanding of how financial data shapes outcomes.

Skills

Python programming

TensorFlow

PyTorch

Rust

Java

Deep Learning

LLMs

Reinforcement Learning

Data pipelines

Statistical understanding

Cloud computing

Multi-machine setups

Research experience

Financial data modeling interest

Education

MS/PhD candidate (penultimate year)

Job description

Position Summary

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

The weekly base pay for this role will be between $5,000/Week (MS) and $5,500/Week (PhD) based on academic degree conferred. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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