Machine Learning Engineer

Cantor Fitzgerald - New York, NY

Full-time

New York, NY

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Machine Learning Engineer will be responsible for developing and implementing machine learning models to support business objectives. This role requires a strong technical background in machine learning, data engineering, and software engineering, with a focus on leveraging large language models (LLMs) and classical techniques to drive significant 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)