Applied AI Research Lead

Open Systems Technologies; New York (NY); On-site; USD 200,000; Full time

Job summary

A leading financial firm seeks an Applied AI Research Lead in New York, NY. This position involves advancing machine-learning systems and providing technical leadership in an innovative environment. Ideal candidates will hold an advanced degree and possess extensive experience in software development for quantitative workflows, particularly in finance.

Qualifications

• 4+ years of industry experience with a strong focus on quantitative investment workflows.
• Proficiency in both contemporary programming languages and AI/ML foundations.

Responsibilities

• Collaborate to advance production machine-learning systems and applications.
• Develop, test, and maintain high-quality, production-ready code.
• Demonstrate technical leadership across teams.

Skills

Collaboration

AI/ML System Design

Software Development

Education

Master's or Ph.D. in Computer Science or related field

Tools

Python

C++

Java

Job description

A financial firm is looking for an Applied AI Research Lead to join their team in New York, NY.

Compensation: $200k

Responsibilities:

• Collaborating effectively with colleagues to advance production machine-learning systems and applications.
• Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
• Developing, testing, and maintaining high-quality, production-ready code.
• Demonstrating technical leadership by taking charge of cross-team projects.
• Creating libraries and frameworks that underpin reliable and testable systems.
• Represent Client at conferences and within open-source communities.

Qualifications:

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• A minimum of 4 years of experience in the industry that demonstrates your expertise.
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
• Proficiency in contemporary programming languages like Python, C++, or Java.