ML Systems Engineer for Scalable Distributed Training

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 140,000 - 210,000; Full time

Job summary

Susquehanna International Group is seeking a Machine Learning Systems Engineer to strengthen the performance and scalability of its distributed training infrastructure. You will collaborate with researchers to streamline large-scale training runs and help researchers make the most of compute resources.

Join us to build tooling for efficient training, profile and optimize training runs, and push the boundaries of high-performance ML systems in a collaborative, research-driven environment.

Qualifications

• Experience with large-scale ML training pipelines and distributed training frameworks.
• Strong Python software engineering skills.
• Ability to profile, benchmark, and optimize system-level performance.
• Interest in high-performance distributed systems.

Responsibilities

• Collaborate with researchers to enable efficient models and architectures.
• Apply techniques to improve hardware efficiency of training runs.
• Create tooling to distribute training jobs effectively.
• Profile and optimize training runs.

Skills

Distributed training

Python

Profiling & benchmarking

System optimization

Job description

Susquehanna International Group is seeking a Machine Learning Systems Engineer to strengthen the performance and scalability of its distributed training infrastructure. You will collaborate with researchers to streamline large-scale training runs and help researchers make the most of compute resources.

Join us to build tooling for efficient training, profile and optimize training runs, and push the boundaries of high-performance ML systems in a collaborative, research-driven environment.