Machine Learning Researcher (LLMs)
Machine Learning Researcher (LLMs)
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Job Description
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.
Compensation
$600000 - $Total Compensation depending on level of experience.
Extensive Medical Dental and Vision Insurance
Whats the Job
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 be designing and implementing 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. You will also be working with embeddings and retrieval-augmented generation (RAG) to connect models with external knowledge sources.
This role is considered to be very close to the this role you will get to work closely with some of the top Quantitative Researchers and Quantitative Traders in the industry on impactful projects. Your work will also have a very real impact that will influence your growth at the company both professionally and financially.
They are looking for someone with excellent communication skills so you should be excited about working in a collaborative environment.
They are investing heavily into this area and are attracting many of the worlds top AI talent to their team so you will be surrounded by great talent. They are also committed to investing heavily into the tools and infrastructure needed to be a leader in this space.
Requirements
Very strong experience in machine learning reinforcement learning and optimization.
Have a 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 Masters in a related field.
Finance-related domain experience is not needed but interest in trading and finance is helpful.
Strong interest leveraging Machine Learning modeling to own and make a large impact in a quantitative finance setting.
Location
This role requires you to work out of their Miami office five days a week. They do cover relocation expenses if you are looking to move.
Interview Process
To learn more apply here today or contact me directly at:
Employment Type
Full Time
