Quant jobs / Two Sigma

Quantitative Software Engineer – Techniques Engineering

An engineering role scaling the machine-learning and LLM techniques used by a systematic investment firm's researchers. The focus is on fast, tested, shared training and inference infrastructure.

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.

Turn research prototypes of model training into maintainable shared libraries
Speed up data loading and batching for GPU training and inference
Extend internal research libraries to support agent-based workflows
Restructure a growing multi-author codebase so it stays testable and coherent

What they ask for

Required

Python
Testing and CI/CD
Version control
GPU ML systems performance
Batching and scheduling
Research-to-production collaboration
1+ year of experience

Preferred

CUDA
PyTorch, TensorFlow or Hugging Face
LLM agent frameworks
Agent evaluation, RLHF or synthetic data

Education: BS in computer science, mathematics, physics or a related technical subject
Experience: At least 1 year; 7–15 years preferred, including quantitative software engineering
Languages and tools: Python
CUDA
PyTorch
TensorFlow
Hugging Face

How to prepare

Train a small transformer in PyTorch and profile GPU utilisation to find bottlenecks
Build an efficient data pipeline with batching and padding strategies, and benchmark it
Write a tested Python package with CI that wraps a training loop
Learn the basics of CUDA kernels and when custom ones beat framework defaults

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 Two Sigma’s site before applying: requirements, location and pay can change after we check them.

View the posting on Two Sigma’s site ↗

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