About the role#
This internship is an opportunity to apply machine learning, deep learning, and reinforcement learning to complex systems. You will spend roughly 10 weeks during the summer working on a specific research project or idea. You will work alongside scientists and academics to improve our understanding of how financial data influences the world.
What you'll do#
- Develop techniques and infrastructure for a specific research project.
- Write code to implement and test artificial intelligence models.
- Run experiments and analyze results in a research environment.
- Discuss technical approaches and findings with team members.
What you'll need#
- Currently pursuing an MS or PhD in Computer Science, Engineering, or a STEM field. This role is open to students in their penultimate year of study.
- Excellent programming skills in Python with deep knowledge of Tensorflow or PyTorch.
- Practical experience using Deep Learning, Large Language Models, or Reinforcement Learning.
- Experience with cloud computing environments and multi-machine setups.
- An understanding of basic statistics.
- Experience with data pipelines for large, noisy datasets is preferred, as is prior research experience.
Location & details#
- Location: New York, NY.
- Term: Summer 2027.
- This is a full-time, paid, on-site internship.
- Weekly base pay is $5,000 for MS students and $5,500 for PhD students. This role may be eligible for a discretionary bonus and additional wellness benefits.
About Two Sigma
Two Sigma is a financial sciences firm based in New York. It combines data science and technology to solve problems in finance. The company works in sectors like investment management, private equity, and insurance. Founded in 2001, it currently employs between 1,001 and 5,000 people.
How to get in at Two Sigma
Applying early gives you a distinct advantage at Two Sigma because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published, so you can be among the first to submit your materials. This timing often matters more than candidates realize when competition is high. You can reach out to recruiters directly to ask about the role or a referral, which often improves your response rates compared to applying into a queue. Intern Insider surfaces the specific recruiters behind Two Sigma roles to help you make those connections. Using these insights helps you navigate the process with more clarity.
