New York, United States
Internship Explorer
Internship Explorer
The XTY AI Research Internship This 12–14-week research-focused internship (we offer flexible start-dates throughout the year), is designed for highly motivated students in the middle years of their advanced degrees, who are eager to push the boundaries of high-risk, high-reward AI research and rapidly integrate cutting-edge ideas into our advanced strategies. Top performing interns will be actively considered for full-time research roles in either our NYC or London teams. Work at the Frontier of Fundamental AI Research: Explore and innovate at the forefront of machine learning, optimization, generative AI, foundation models, distributed training, and other cutting-edge areas, driving direct business impact. Fast-Paced Innovation: A unique opportunity to test, iterate, and refine cutting-edge concepts at industry speed, all taking place in weeks if not days. Mentorship & Collaboration: Each intern will be paired with at least one full-time researcher as a mentor and will also work closely with the research director for guidance and collaboration. Exposure to Real-World Quantitative AI: Experience firsthand how advanced AI techniques shape algorithmic trading in one of the world’s most technologically sophisticated firms. This is an exclusive opportunity for students who excel in research-driven environments and are eager to make a meaningful impact in a field still rich with untapped potential in the GenAI era. Our environment is designed for innovation with a flat organizational structure, a friendly and collaborative culture, and an absence of red tape, allowing you to focus on advancing the field of machine learning in finance. You will work from our NY office at least 4 days per week. Responsibilities Engage in pioneering research to devise original machine learning algorithms, with the autonomy to investigate and apply novel methods. Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, reinforcement learning, among others. Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality. Clearly communicate research progress and findings, ensuring efficient internal knowledge transfer both verbally and in writing. Foster teamwork and collaborate with XTX Markets’ quantitative research team, contributing to a collective effort of fewer than twenty experienced researchers. The program offers an unparalleled opportunity to work within a rich computational environment, equipped with an impressive array of resources. Interns will immerse themselves in a culture that promotes collaboration, innovation, and a flat hierarchy. The program is designed to bring together a wide range of backgrounds and interests, not only those who are already set on a career in finance.
