Key Skills

Job Description

We are seeking a highly motivated and skilled Senior Deep Learning Researcher to join our team. As an individual contributor, you will work alongside world-class researchers in a fast-paced environment, advancing AI and machine learning research with direct applications to HFT and MFT. Responsibilities Conduct original machine learning research to push the frontier of market data modeling; Develop and experiment with modern deep learning architectures and training techniques; Extract meaningful insights from large, unstructured, and noisy datasets; Continually explore new methodologies and technologies to enhance research outcomes. Requirements Extensive research experience in ML, demonstrated through publications at top-tier venues, a strong track record of impactful research projects, or a PhD in a related field; Strong background in machine learning, probability, and statistics; Deep understanding and hands-on experience with modern DL architectures and training methodologies, with particular expertise in Transformers and their variants.; Ability to work effectively with AI coding and research agents What we offer High base salary, social benefits, and generous bonus structure; Access to cutting-edge compute, infrastructure, and engineering expertise to rapidly test and deploy ambitious ideas; Ownership of initiatives that directly solve business problems; Flexible working style and working schedule; High-autonomy environment with minimal bureaucracy and micromanagement; Tuition reimbursement, conference and training sponsorship.

Core Responsibilities

Conduct original machine learning research to advance market data modeling, and develop and test modern deep learning architectures and training techniques. Analyze large, unstructured, noisy datasets and explore new methodologies and technologies to improve research outcomes.

Requirements

Candidates need extensive machine learning research experience, demonstrated through top-tier publications, impactful projects, or a PhD in a related field. They should have strong foundations in machine learning, probability, and statistics; hands-on expertise with modern deep learning architectures, especially Transformers; and the ability to work effectively with AI coding and research agents.

Benefits

• Social Benefits
• Bonus Structure
• Access to Cutting-Edge Compute and Infrastructure
• Tuition Reimbursement
• Conference and Training Sponsorship
• Flexible Working Schedule
• High Autonomy