Machine Learning Researcher; LLMs

My client is one of the most prestigious and reputable quantitative trading firms in the world and they are at the forefront of AI and Machine Learning investment and development.

They are looking for a Machine Learning Researcher who specializes in Large Language Models to join one of their high-frequency trading teams.

If you are excited about a role where you will have ownership over groundbreaking new projects in a fast‑growing team then this is the opportunity for you.

$600000 - $Total Compensation depending on level of experience.

Extensive Medical, Dental and Vision Insurance.

As the Machine Learning Researcher in their fast‑growing AI group you will be developing Large Language Models (LLMs) to support one of their high‑frequency trading teams to develop trading signals and generate Alpha.

You will design and implement LLM training and evaluation pipelines which will include pre‑training through fine‑tuning and post‑training techniques. You will also explore alignment strategies (RLHF, DPO, bootstrapping etc.) to adapt models for particular objectives and work with embeddings and retrieval‑augmented generation (RAG) to connect models with external knowledge sources.

This role is close to the core trading side, allowing you to work closely with top Quantitative Researchers and Traders on impactful projects. Your work will have a direct impact on your professional and financial growth.

Excellent communication skills are required; you should be excited about working collaboratively.

We are investing heavily in this area and attract the world's top AI talent, providing leading tools and infrastructure.

• Very strong experience in machine learning, reinforcement learning, and optimization.
• Deep understanding of transformer architectures, attention mechanisms and model internals.
• Strong experience with LLM post‑training methods (SFT, DPO, RLHF, reward‑design).
• Expert‑level knowledge of Python.
• Willingness to work in Miami, Florida (5 days a week).
• PhD or Master’s in a related field.
• Finance‑related domain experience not required but interest in trading and finance is helpful.
• Strong interest in leveraging Machine Learning to own and make a large impact in a quantitative finance setting.

This role requires working out of our Miami office five days a week. We cover relocation expenses if you are looking to move.

• Intelligence Community Experience
• Python, SPSS, Microsoft Word, R, Regression Analysis
• Windows, Stata, Microsoft PowerPoint, Research Experience, Data Modeling, Writing Skills

To learn more, apply here today or contact me directly at the information provided in the job portal.

• Employment Type:
  
  Full Time
• Experience:
  
  5+ years
• Vacancy: 1
• Monthly Salary (total compensation): $600,000 – $1,200,000