AI/ML Research Intern
DRW is a Chicago-based diversified trading firm that uses technology, quantitative research, and risk management to provide liquidity across traditional and digital-asset markets.
About DRW
Founded by Don Wilson in 1992, DRW trades for its own account across global markets and operates strategies in cryptoassets, venture capital, real estate, carbon markets, and public-equity investments. Its crypto business, Cumberland, has provided institutional crypto-asset liquidity since 2014.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
As an AI/ML Research Intern, you will collaborate with technologists, quantitative researchers, and traders to solve challenging AI and machine learning problems. Projects may include forecasting, large language models, large-scale deep learning, data pipelines, and telemetry analysis. The internship provides meaningful projects, mentorship, training, and educational and team-building activities.
Requirements
- Pursuing a master's or PhD degree in a technical discipline focused on machine learning, deep learning, or NLP, graduating between December 2027 and June 2028.
- Expertise in deep learning, machine learning, and statistics.
- Demonstrated experience training large models.
- Knowledge of TensorFlow, PyTorch, Keras, and scikit-learn.
- Experience programming in Python.
- Experience with scripting.
- Strong communication skills.
- Positive, team-oriented attitude.
- Software best practices and relevant publications are a plus.
Responsibilities
- Design and implement large-scale deep learning models for computer vision, reinforcement learning, graph neural networks, or similar domains.
- Improve data and data pipelines.
- Perform time series forecasting.
- Apply deep learning methods to telemetry data.
Benefits
- Fully furnished apartments located close to the office.
- Mentorship program.
- Educational, social, and team-building activities.
- Options course training.
- Meaningful project experience and professional development.
