Top AI & Machine Learning Jobs in New York City, NY

Ten-week machine learning engineering internship focused on building systems for training and deploying large-scale ML models. Interns collaborate with researchers, hardware experts, and software engineers on GPU acceleration, distributed computing, and open-source tools supporting trading strategies. The program includes technical training, mentorship, professional development, financial markets education, and team activities. Successful interns may receive an opportunity for a graduate position.

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

Conduct research on low-latency machine learning inference and hardware acceleration. Architect and implement an ML research project, collaborate with hardware engineers, evaluate neural architecture search and quantization methods, and deploy solutions on FPGAs or custom ASICs. Present findings and deliver a prototype or benchmark while assessing performance, engineering costs, and industry impact.

Develop, evaluate, and deploy machine learning models for real trading environments; apply rigorous statistical techniques to measure performance, control overfitting, and assess model risk and interpretability; collaborate with traders and developers; maintain best practices and production-ready systems.

10-week in-person research internship partnering with Quant Researchers to explore research ideas, build analysis tools, learn options theory and market making, and develop skills for potential conversion to a full-time Graduate Researcher role.