The Role
Conduct AI and machine learning research during a 10-week summer internship. Develop techniques and infrastructure, write code, run experiments, analyze noisy financial data, and collaborate with experienced researchers. The role focuses on deep learning, large language models, reinforcement learning, data pipelines, cloud computing, and multi-machine research environments.
Summary Generated by Built In
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:
You should possess the following qualifications:
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.
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.
Skills Required
- Be in the penultimate year of an MS program with prior work experience or a PhD program
- Pursue a degree in Computer Science, Engineering, or another STEM field
- Excellent programming skills in Python
- Deep knowledge of TensorFlow and/or PyTorch
- Internship, work, or coursework 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 financial data modeling in a collaborative environment
- Familiarity with Rust or Java
- Practical experience writing and using data pipelines for large, noisy datasets
- Relevant research experience, potentially including publications at NeurIPS, ICML, ICLR, or similar venues
Two Sigma Compensation & Benefits Highlights
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Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
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Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
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Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.
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The Company
What We Do
Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.
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Two Sigma Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
