Machine Learning Engineer

Cantor Fitzgerald Securities - New York, NY

Full-time

New York, NY

About the position

This position is focused on leveraging machine learning and data engineering skills to support a multi-billion dollar business. The role requires a strong technical background, particularly in programming and machine learning concepts, to effectively train and evaluate production models. The candidate will collaborate with business partners to communicate technical ideas and drive business outcomes.

Requirements

• Bachelor's degree in a technical subject (e.g. computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent experience
• Ability to write code fluently in at least one programming language, preferably Python
• Knowledge of mathematics, statistics and machine learning concepts needed to properly train and evaluate production models and understand research papers
• Ability to communicate technical ideas effectively and work with business partners
• Entrepreneurial mindset and strong interest in using LLMs and classical machine learning techniques to help drive a multi-billion dollar business
• 2+ years experience in a machine learning, data engineering or software engineering team

Nice-to-haves

• Familiarity with deploying and managing containerized applications in an AWS and/or Azure environment
• Familiarity with Infrastructure as Code (Terraform) and CI/CD
• Experience building RESTful APIs (preferably in Flask, FastAPI, or other Python frameworks)
• Experience building data pipelines to feed ML models
• Knowledge of Python ML/data/math libraries such as PyTorch, numpy and pandas

Benefits

• Competitive benefits package
• Discretionary bonuses
• Short- and long-term incentives (e.g., deferred cash, equity)