Deep Learning ML Researcher

Posted 19 Hours Ago
Miami, FL
In-Office
Entry level
Information Technology • Software • Financial Services
We embrace bold ideas and seize opportunities others don’t, from the way we operate to the strategies we deploy.
The Role
Conduct research and develop machine learning models for finance, focusing on deep learning and large language models, optimizing them for performance, and collaborating with teams to integrate ML solutions.
Summary Generated by Built In
Job Description
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Researchers build and deploy models across equities, options, fixed income, and derivatives domains, often working with petabyte-scale data.
Models incorporate advanced techniques: deep learning, sequence / time-series models, representation learning, and methods to tame overfitting and ensure robustness in financial regimes.
The goal: each model isn't a theoretical exercise - it has a measurable P&L impact (or reduces risk / cost) when deployed in live market-making or trading contexts.
Key Responsibilities:
• Conduct cutting-edge research and development in machine learning, with a focus on large language models (LLMs) and Deep learning and their applications in quantitative finance.
• Design, implement, and optimize machine learning models for performance and scalability, particularly in financial contexts.
• Collaborate with cross-functional teams to integrate ML solutions into business processes and trading strategies.
Skillset Requirements:
  • 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 the next-generation capital markets firm and a leading global market maker. We provide institutional and retail investors with the liquidity they need to trade a broad array of equity and fixed income products in any market condition. The brightest minds in finance, science and technology use powerful, advanced analytics to solve the market's most critical challenges, turning big ideas into real-world outcomes.

Top Skills

Python
PyTorch
TensorFlow

What the Team is Saying

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The Company
HQ: Miami, FL
1,900 Employees
Year Founded: 2002

What We Do

Citadel Securities is the next-generation capital markets firm. Our work is powered by the deepest integration of financial, mathematical and engineering expertise. Combining deep trading acumen with cutting-edge analytics and technology, we at Citadel Securities deliver critical liquidity to the world’s most important financial institutions—while helping shape the global markets of tomorrow.

Why Work With Us

We do not accept the status quo and we are constantly looking to achieve what others think is impossible. That’s true not just in our careers, but also in our communities.

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