Job Description

Company Insight :

The Head of AI at a world-leading quantitative research firm at the forefront of AI and machine learning is looking to add an AI Researcher to his close-knit team of experts. The firm operates on cutting-edge infrastructure, leveraging over a million CPU cores and petabyte-scale data to drive impactful research. In this dynamic, collaborative environment, you'll have the autonomy to lead innovative projects, directly influencing live trading systems with your work. With offices in major financial hubs worldwide, including New York, Miami, London, and Hong Kong, this is a rare opportunity to push the boundaries of research while contributing to one of the most advanced teams in the industry.

This role is based in New York City, NY. Please ensure that you meet all the criteria below. Otherwise, your application will not be considered.

Your Role :

In this role, you will:

• Use statistics, machine learning and AI (e.g. Gen AI, deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
• Implement algorithms in high-quality code
• Work with large data sets, including unconventional and unstructured data sources
• Back-test models and document research findings

Experience Required / About You :

• At least 2 years’ experience working in a data-driven AI/LLM/NLP research role is essential
• Strong research background in Machine Learning, AI or Statistics, including a PhD at a top US university is essential
• Proficiency in Python and/or C++ is essential
• Detail oriented and be able to dive deep into the data
• Ability to communicate advanced concepts in a concise and logical way

Pre-Application :

• Please do not apply if you're looking for a contract or remote work.
• You must be eligible to live and work in the US, without requiring sponsorship.
• Please ensure you meet the required experience section prior to applying.
• Allow 1-5 working days for a response to any job enquiry.
• Your application is subject to our privacy policy, found here:

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