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.
Requirements
- Pursuing an advanced degree, ideally Ph.D., in computer science, electrical engineering, mathematics, or a related quantitative field, with at least one year remaining before your expected graduation date.
- Strong evidence of ability to conduct original research. That shall include a proven publication record in leading machine learning and AI venues (we do not count publication numbers)
- Demonstrated practical experience and deep understanding of modern deep learning architectures, in particular transformers and its variants.
- Solid knowledge in fundamental data science, optimization, and statistics
- Solid programming skills (language does not matter; Python is fine)
Nice to Have
- Proven expertise in developing and working with foundational models, including but not limited to large language models and multi-modal frameworks.
- A background in managing and analyzing large, unstructured, and noisy datasets.
- Hands-on knowledge of time series forecasting.
Work Arrangement
On-site — New York City
Additional Information
- No prior experience in finance is needed.
- You will work from our NY office at least 4 days per week.
- The base salary for the AI Research Internship role will be $35,000 per month.
- You will enjoy similar benefits to those of our US permanent employees as appropriate and receive a generous sign-on bonus to be used for covering accommodation costs.
- This 12–14-week research-focused internship
- Top performing interns will be actively considered for full-time research roles in either our NYC or London teams.
- Please note that we are now only accepting applications from candidates who are available starting from January 2027 or later.
