Principal AI Researcher (Quant Finance)

Stabile Search; New York (NY); On-site; USD 1,000,000 - 5,000,000; Full time

Job summary

Stabile Search's client, a prestigious quantitative trading firm, seeks an experienced ML Researcher Engineer focused on pre-training and foundation LLMs in New York.

The role offers ownership over groundbreaking projects, requires PhD/Masters, Python and DL expertise, and entails joining a fast-growing team with relocation covered.

Qualifications

• Experience pre-training and building foundation models.
• Strong software engineering skills with a proven track record.
• Expertise in Python and DL frameworks.
• Experience with large-scale ML in language models.
• Ability to balance research with engineering constraints.

Responsibilities

• Conduct research and implement model architectures and optimizers.
• Rapidly implement state-of-the-art methods from the deep learning literature.
• Innovating pre-training and new scaling paradigm.
• Design, run, and analyze experiments on LLMs.
• Optimize training infrastructure for efficiency and reliability.

Skills

Pre-training foundation models

Python

Deep learning frameworks

Software engineering

Large-scale ML

Language models

Communication skills

Team collaboration

Research mindset

Education

PhD or Master’s in a related field

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 an experienced ML Researcher Engineer who specializes in pre-training and building foundation Large Language Models.

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

• $1,000,000 - $5,000,000 Total Cash Compensation depending on level of experience.

What's the Job?

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development.
• Rapidly implement the latest state-of-the-art methods from the deep learning literature.
• Innovating new ideas for pre-training and new scaling paradigm.
• Design, run, and analyze scientific experiments to advance their understanding of large language models.
• Optimize and scale their training infrastructure to improve efficiency and reliability.

They are investing heavily into this area and are attracting many of the world's 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

• Experience pre-training and building foundation models.
• Strong software engineering skills with a proven track record of building complex systems.
• Expertise in Python and experience with deep learning frameworks.
• Familiarity with large-scale machine learning, particularly in the context of language models.
• Ability to balance research goals with practical engineering constraints.
• Strong problem-solving skills and a results-oriented mindset.
• Excellent communication skills and ability to work in a collaborative environment.
• 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 New York City office five days a week. They do cover relocation expenses if you are looking to move.