ML Systems Engineer — Scalable Distributed Training

Susquehanna International Group, LLP; Bala Cynwyd (PA); On-site; USD 140,000 - 220,000; Full time

Job summary

Susquehanna International Group, LLP is seeking a Machine Learning Systems Engineer to strengthen the performance and scalability of our distributed training infrastructure. You will collaborate with researchers to streamline development and execution of large-scale training runs, and help maximize utilization of compute resources.

The role focuses on building tools, profiling, and optimizing systems for efficiency, combining distributed systems and machine learning to enable rapid

Qualifications

• Experience with large-scale ML training pipelines and distributed training frameworks.
• Strong software engineering skills in Python.
• Experience improving resource efficiency across distributed computing environments via profiling and benchmarking.
• Ability to collaborate with researchers to build efficient training systems.

Responsibilities

• Collaborate with researchers to enable efficient models and architectures.
• Develop tooling to help researchers distribute training jobs.
• Profile and optimize distributed training runs.
• Contribute to improving hardware efficiency of training runs.

Skills

Python

Distributed training

Large-scale ML

Job description

Susquehanna International Group, LLP is seeking a Machine Learning Systems Engineer to strengthen the performance and scalability of our distributed training infrastructure. You will collaborate with researchers to streamline development and execution of large-scale training runs, and help maximize utilization of compute resources.

The role focuses on building tools, profiling, and optimizing systems for efficiency, combining distributed systems and machine learning to enable rapid