Production ML Engineer - Quant Finance AI

Mondrian Alpha; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Mondrian Alpha is seeking a Machine Learning Engineer to innovate within the financial markets, focusing on deploying ML models for trading predictions and risk management. In this role, you will work closely with quantitative researchers to refine models and build out robust infrastructure that performs under real-time market conditions.

The ideal candidate will have significant production experience with ML systems, proficiency in Python, and a strong understanding of model architecture and performance analysis. Exceptional compensation and an elite team await the right individual.

Qualifications

• Experience building and deploying machine learning systems in production environments.
• Proficiency in Python and core ML tools and frameworks.
• Understanding of modeling, assumptions, and limits.

Responsibilities

• Research and develop machine learning models for financial prediction and risk.
• Build production infrastructure reliably from research models.
• Collaborate with quantitative researchers to expedite learning from data.

Skills

Machine learning systems deployment

Python proficiency

Understanding of modeling and algorithms

Software engineering fundamentals

Tools

PyTorch

JAX

Job description

Mondrian Alpha is seeking a Machine Learning Engineer to innovate within the financial markets, focusing on deploying ML models for trading predictions and risk management. In this role, you will work closely with quantitative researchers to refine models and build out robust infrastructure that performs under real-time market conditions.

The ideal candidate will have significant production experience with ML systems, proficiency in Python, and a strong understanding of model architecture and performance analysis. Exceptional compensation and an elite team await the right individual.