Deep Learning ML Researcher

Job Description

• Proficiency in creating and using algorithms to meticulously investigate and work through large data or error-checking problems 
• Deep knowledge of LLM architectures, including transformers. 
• Familiarity with attention mechanisms, normalization techniques, and model architecture design.  
• Training techniques (pre-training, fine-tuning, RLHF), and optimization methods. 
• Understanding of low-level details like GPU memory management, precision types (float16, bfloat16), and parallelization techniques.
• Proficiency in advanced training techniques such as pre-training, fine-tuning, RLHF, and DPO. 
• Expertise in Python and ML frameworks like PyTorch or TensorFlow. 
• Familiarity with Retrieval Augmented Generation (RAG) systems and their implementation. 
• Proven ability to approach open-ended problems and design end-to-end solutions in ML/AI.
• Strong mathematical and statistical foundations, particularly in areas relevant to quantitative finance. 

About Citadel Securities

Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market’s and our clients’ most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com.