AI/ML Research Intern Designing and implementing large scale deep learning models for computer vision, reinforcement learning, graph neural networks or similar domain Improving our data and data pipelines Time series forecasting Applying deep learning methods to telemetry data (sensor data and metrics collected from intelligent devices)
Are pursuing a master’s, or PhD (preferred) degree in a technical discipline focusing on machine learning, deep learning or NLP graduating between December 2026 and June 2027 Expertise in deep learning, machine learning and statistics Demonstrated experience training large models Good knowledge of deep learning tools and packages such as Tensorflow, Pytorch, Keras, scikit-learn Experience programming in Python Experience with scripting Strong communication skills to advocate your ideas in a clear and concise manner to the team Positive, team-oriented attitude Plus: Software best practices (agile, version control, experiment tracking, code review etc.) Publications in relevant conferences and journals
Meaningful projects: You’ll receive a challenging project to complete during your time here. Each project, advised by a software engineer, promotes a comprehensive learning experience and provides you with meaningful work experience. Community: Throughout the summer, we host a variety of educational, social and team-building activities to foster friendship and camaraderie. Housing: DRW provides fully furnished apartments located close to the office –making your morning commute as easy as possible. Mentorship: You’ll build a professional relationship with an experienced mentor in your field. Mentors and mentees meet to discuss goals, challenges and professional development and explore the city together at our mentor outings. Education: As technology continues to drive the trading industry forward, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges. To prepare you for how technology will continue to impact trading’s future landscape, you will complete an options course framed from a developer’s standpoint to help you visualize how your technology solutions will be used in real time. As the trading industry continually evolves, both in terms of new products and transaction methods, the future will present us with unique opportunities and challenges.
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