Machine Learning Systems Engineer: Distributed Training (AI)

Location: Bala Cynwyd (Philadelphia Area), Pennsylvania, United States; onsite

Company

hirify.global is a quantitative trading firm combining machine learning, advanced quantitative research, and software engineering to develop systematic trading strategies.

What you will do

• Collaborate with researchers to develop systems-efficient machine learning models and architectures.
• Apply distributed training techniques to improve hardware efficiency during large-scale training runs.
• Create tooling that helps researchers distribute training jobs more effectively.
• Profile and optimize training runs and distributed computing environments.
• Analyze system implementations to improve performance and maintainability.

Requirements

• Experience with large-scale machine learning training pipelines and distributed training frameworks.
• Strong software engineering skills in Python.
• Interest in understanding systems fundamentals and improving implementation performance.
• Experience using profiling, benchmarking, and system-level optimizations to improve resource efficiency across distributed computing environments.
• Ability to work onsite in Bala Cynwyd, Pennsylvania.

Culture & Benefits

• Work in a collaborative environment involving researchers, engineers, and traders.
• Contribute to machine learning research and experimentation at scale.
• Build systems from the ground up using high-performance technology.
• Work on complex problems involving quantitative research and global financial markets.