Applied AI Research Lead, Texas

A financial firm is looking for an Applied AI Research Lead to join their team in Dallas, TX.

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.