Quant jobs / Susquehanna International Group (SIG)

Machine Learning Systems Engineer – Distributed Training

An engineering role making large-scale distributed model training faster and easier for researchers. It focuses on hardware efficiency and tooling.

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.

Help researchers run large training jobs and use compute efficiently
Profile training runs and remove system bottlenecks
Build tools that make distributing training easier
Advise on models and architectures that suit the hardware

What they ask for

Required

Large-scale ML training pipelines
Distributed training frameworks
Strong Python engineering
Systems-level understanding
Profiling and benchmarking

Education: No degree level stated
Experience: Experience with large-scale ML training pipelines
Languages and tools: Python

How to prepare

Train a model across multiple GPUs with a distributed framework and measure scaling
Profile a training run to find where time is lost
Study data loading, communication and mixed precision
Write a tool that launches and monitors distributed jobs

What to study

Apply

Read the full posting on Susquehanna International Group (SIG)’s site before applying: requirements, location and pay can change after we check them.

View the posting on Susquehanna International Group (SIG)’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Susquehanna International Group (SIG) and doesn’t handle applications.