Machine Learning Research Engineer

Skills

Job Specifications

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

About the Company

Global Partners in Engineering Talent Solutions. Our experience and genuine interest in our specialist sectors means we understand the challenges facing our clients, and the value they place on recruiting motivated, first-rate and skilled talent. It’s our people-focused service that keeps businesses thriving, candidates rising and our business growing from strength to strength. Our purpose is to positively change lives through unrivalled organisation of highly motivated resources - Combining motivational matching with techni... Know more

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