Quant jobs / Hudson River Trading

AI Researcher

A research role on HRT's AI Labs (HAIL) team, which builds foundation models for markets. Researchers work independently in small teams with large GPU resources.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Improve how market data is turned into model inputs
Design and test new model architectures
Study training dynamics and fix instabilities
Link model predictions to trading decisions

What they ask for

Required

Two or more years of deep learning research in any field
Ability to move methods between domains

Preferred

LLM experience
GPU kernel development
Low-level PyTorch or JAX
Intermediate C++
FPGA, ASIC or HPC experience

Education: No degree level stated.
Experience: 2+ years of deep learning research
Languages and tools: Python
PyTorch
JAX
C++

How to prepare

Reproduce a recent sequence-modelling paper and run ablations
Learn how to evaluate models on non-stationary time series
Study scaling behaviour and training stability
Build a small model on public market data and test it out of sample

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Hudson River Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on Hudson River Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Hudson River Trading and doesn’t handle applications.