AI Research Engineer (Agentic Systems) — Full-Time

Location: New York City or Remote

About Ace Quants

Ace Quants is a preeminent high-frequency trading firm, OTC desk, liquidity provider, and seed investor with a global footprint. Headquartered in the DMV area and spanning the U.S., China, Europe, and South America, we design and deploy cutting-edge quantitative and AI systems that power trading volumes exceeding those of many established exchanges.

We’re building the future of autonomous quant research and trading agents. We’re looking for world-class talent to help us push the frontier.

The Role

As an AI Research Engineer (Agentic Systems), you’ll be at the intersection of machine learning, infrastructure, and trading strategy automation. You’ll:

Train and fine-tune large-scale models on proprietary market and behavioral data
Design and deploy agentic AI systems capable of autonomous research, signal discovery, and execution
Build high-performance ML pipelines and model evaluation frameworks
Collaborate with quants and engineers to embed models directly into live trading environments

What We Offer

A high-impact seat in a firm where AI research directly drives trading PnL
Mentorship from leading quants, engineers, and technologists
Access to massive proprietary datasets and custom HFT infrastructure
A global, collaborative team with hubs in NYC and remote contributors worldwide
Team offsites, events, and a culture built for speed, innovation, and excellence

Who You Are

You thrive on turning data into strategy and ideas into agents. You’re not looking for a routine ML role, you want to push boundaries where every line of code and every model trained has an immediate, measurable impact.

Requirements:

Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Physics, or related field
Strong programming ability in Python and C++
Experience with ML frameworks
Drive to build and automate AI agents that operate at scale

How to Apply

Send your application to contact@aceqts.com