Engineer developing algorithms and optimizations for NVIDIA's inference and compiler stack. Working at the intersection of large - scale systems, compilers, and deep learning.
About the role
- Applied AI Researcher driving the adoption of AI and ML technologies at Infotree. Contributing to various AI/ML domains within the financial domain.
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.
Requirements
- 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 industry experience 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#, Java.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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