AI/ML Research Intern
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.
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.
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.
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.