About the role#
We are looking for researchers to apply machine learning, deep learning, and reinforcement learning to complex systems. This role focuses on working with large, noisy datasets to build predictive models for financial markets, including alpha modeling and trading tactics. You will join our quantitative research team to test hypotheses and develop creative solutions.
What you'll do#
- Develop techniques and infrastructure from initial concepts through to production.
- Write code and use AI and machine learning tools to run experiments on cloud and internal infrastructure.
- Build predictive models for financial markets.
- Partner with teams across the firm to implement your ideas into products.
- Collaborate with internal and external researchers and attend relevant conferences.
What you'll need#
- Advanced degree in Computer Science, Engineering, or a STEM field. You must be in the final year of an MS or PhD program. MS candidates must have prior work experience.
- Strong programming skills in Python. Experience with Rust, Java, or C++ is a plus.
- Deep knowledge of TensorFlow, PyTorch, JAX, or similar frameworks.
- Experience with deep learning, LLMs, or reinforcement learning through internships or previous work.
- Background in applying machine learning to large, noisy datasets.
- Experience with cloud environments, multi-machine CPU/GPU setups, version control, testing, and code reviews.
- A history of relevant research. Publications at conferences like NeurIPS, ICML, or ICLR are preferred.
- Ability to work effectively in a team environment.
- Participation in the open source community is a plus.
Location & details#
- Location: New York, New York
- Modality: Hybrid
- Employment: Full-time
- Term: Rolling
About Two Sigma
Two Sigma is a quantitative investment management firm. It uses data science, artificial intelligence, and software development to manage assets. The company operates globally with its headquarters in New York. It employs over 2,400 people.
How to get in at Two Sigma
Applying early at Two Sigma gives you a distinct advantage because recruiters review candidates as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first before the pile grows. Reaching the right person at Two Sigma often beats applying into a general queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the position or a referral, which materially improves your response rates.
