AI/ML Research Intern
Quick Summary
Software best practices (agile, version control, experiment tracking, code review etc.
Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As an AI/ML Research Intern, you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. You will collaborate closely with other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include solving forecasting problems or developing large language models (LLMs). We are looking for individuals eager to learn new AI technologies, create innovative solutions, and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and attend a robust training program to ensure your success at DRW.
- 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 2027 and June 2028
- 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
Requirements
~1 min read- 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.
Location & Eligibility
Listing Details
- Posted
- July 13, 2026
- First seen
- July 13, 2026
- Last seen
- July 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- July 13, 2026
Signal breakdown
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