Machine Learning Engineer

Machine Learning Engineer – Elite Systematic Trading Team (NYC) 🚀

A world-class, technology-driven trading team in New York City is looking for a Machine Learning Engineer to help build the next generation of AI-powered research and production systems. This is a rare opportunity to work at the intersection of cutting-edge deep learning and high-performance trading, collaborating directly with top researchers, PMs, and technologists.

If you’re passionate about pushing the limits of AI in real-world, high-stakes environments — this team wants to hear from you.

💼 What You’ll Do

• Build AI-driven agents to support production, monitor trading systems, and automate operational workflows.
• Collaborate with AI researchers on projects like synthetic data generation, representation learning, and intelligent research workflow agents.
• Research, design, and implement advanced deep learning models for sequential modeling, time-series forecasting, and representation learning.
• Translate complex mathematical ideas into performant, production-ready code.
• Work in a high-impact, data-driven environment with immense ownership and visibility.

🔍 We’re Looking For

• PhD or PhD-track candidate in ML, Computer Science, or a related AI field.
• Deep experience in sequential modeling, time-series forecasting, and neural networks.
• Proficiency in Python (and ideally R) with strong experience in PyTorch or TensorFlow.
• Background in research environments, algorithmic modeling, or applied ML.
• Experience with LLMs, agent frameworks, context engineering, or NLP is a strong plus.
• Strong analytical skills, independent research ability, and high attention to detail.
• Clear communication and a commitment to excellence.

🌎 Location

📍 New York City – Onsite / Hybrid depending on candidate

🔥 Why This Role is Exceptional

You will be joining an elite technology team inside a highly successful systematic trading organization — working directly with leaders who are shaping the future of AI-driven trading. The impact is immediate, the projects are cutting-edge, and the growth potential is massive.