AI Research Internship

4 hours agoInternSalary: 420K - 420KNew York, USA Hybrid Internship Ai Jobs by XTX Markets

Skills

Transformers Distributed Training Deep Learning Generative Ai Natural Language Processing Time Series Analysis Machine Learning Data Science Python Foundation Models Multimodality Large Language Models Multi-Modal Framework Control Theory Reinforcement Learning Research Optimization Statistics

About the Role

You will spend 12 to 14 weeks pushing the boundaries of high-risk high-reward AI research, working from XTY Labs' academia-like workspace in Hudson Yards, New York. You will explore machine learning, optimization, generative AI, foundation models and distributed training, and rapidly integrate promising ideas into real trading strategies. You'll be paired with at least one full-time researcher as a mentor and collaborate closely with the Research Director. You'll work from the NY office at least four days a week, and top performers will be considered for full-time research roles in NYC or London.

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 graduation
Strong evidence of ability to conduct original research including a proven publication record in leading machine learning and AI venues
Demonstrated practical experience and deep understanding of modern deep learning architectures, particularly transformers and its variants
Solid knowledge in fundamental data science, optimization, and statistics
Solid programming skills, language does not matter, Python is fine
No prior experience in finance is needed
Proven expertise in developing and working with foundational models including large language models and multi-modal frameworks
Background in managing and analyzing large, unstructured, and noisy datasets
Hands-on knowledge of time series forecasting

Responsibilities

Engage in pioneering research to devise original machine learning algorithms with autonomy to investigate and apply novel methods
Utilize a broad knowledge base across deep learning, natural language processing, time series analysis, control and optimization, and reinforcement learning
Architect, build, and refine models, agents, and software prototypes with a focus on robustness and generality
Communicate research progress and findings clearly, ensuring efficient internal knowledge transfer verbally and in writing
Foster teamwork and collaborate with the quantitative research team

Benefits

Sign-on bonus to cover accommodation costs
Similar benefits to US permanent employees
Mentorship from a full-time researcher and the Research Director