Job description
Machine Learning Research Engineer - Quant & AI Forecasting
$150,000 - $400,000 + up to 2% Equity + Flexible PTO
Manhattan, NYC
Are you excited by intellectually challenging problems and motivated to apply advanced ML research to real-world impact? Do you enjoy working in fast-paced, high-ownership environments where your work directly contributes to both capital strategies and scientific innovation?
This is a rare opportunity to join a well-backed startup that is about to raise Series A and is already highly profitable.
You'll be working to spearhead research on a new class of sample-efficient ML trading models and build forecasting engines with real-world impact, powering applications from algorithmic trading to scientific modeling, with direct deployment through proprietary capital strategies and scalable APIs.
You'll also be joining a tightly knit group of founders, and will work directly with the cofounder and founding researcher. The culture is energetic and ambitious, with a strong focus on making real-world impact. You'll collaborate directly with decision-makers to define research goals and push models into production across markets and science.
This is a role for someone with experience in top AI labs, big tech ML teams, or quant research, strong educational credentials, and a desire for end-to-end ownership whilst working on complex forecasting architectures and contributing to both research and systems engineering.
If you're eager to build models that drive both financial outcomes and meaningful innovation, and you're ready to put in the work to make it happen, this is the ideal role for you.
The Role
- Build and train large-scale, sample-efficient forecasting models
- Deploy systems into real-time trading and forecasting infrastructure
- Contribute to deployment systems (API, capital strategy engines)
- Collaborate directly with founders on high-level product and research decisions
- Apply models in domains like algorithmic trading and scientific forecasting
The Person
- Has experience at top AI labs, big tech ML teams, or top-tier quant trading firms
- Exceptional background in Machine Learning, Statistics, Mathematics, Physics, or related quantitative fields
- Looking to work in a fast-moving startup
