ML Engineer (Gen AI/Computer Vision) - Quantitative Trading

Job Title: Machine Learning Engineer - Generative AI / Computer Vision
Location: New York
Team: Quantitative Trading
Type: Full-Time/ Hybrid Work Setup

We're looking for an ML Engineer with deep expertise in GenAI and/or Computer Vision to join our team. Our client is a major global headfund scaling up to work on Quant System Engineering projects.

What You'll Do:

• Design and implement advanced ML models for unstructured data sources

• Apply generative AI and computer vision to extract predictive signals and model market behavior.

• Build scalable data pipelines and deploy ML models in a low-latency, production-grade trading environment.

• Collaborate closely with mutiple of internal stakeholders

• Experiment with novel datasets and contribute to research in ML model robustness, interpretability, and optimization for trading performance.

What We're Looking For:

• Experience: 3-10 years applying machine learning in production settings (trading/finance, big tech, or top AI labs).

• Expertise: Strong track record in GenAI and/or computer vision

• Technical Skills: Proficiency in Python (PyTorch, TensorFlow,), strong software engineering fundamentals, and comfort working in high-performance compute environments

• Academic Background: Degree in Computer Science, Electrical Engineering, Math, Physics, or related field. .

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.