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Machine Learning Performance Engineer, Training

Tower Research Capital

Quant trading · 14 postings open

  • Location: New York, NY
  • Pay: Pay not stated
  • Experience: 3+ yrs
  • Posted: Posted
Check your fit

About the role

The team optimizes systems for training machine learning models at scale. The engineer analyzes and improves the entire training process, from data handling to hardware utilization, to speed up model development.

Our summary of the posting; the original is on the Tower Research Capital careers page.

What the posting requires

Required
  • Machine learning frameworks
  • Python
  • C++
  • GPU kernel development
  • GPU architecture
  • Distributed training
  • Performance analysis tools
  • High-performance networking
  • Benchmarking
Preferred
  • Kubernetes
  • Large-scale checkpointing
  • Experiment reproducibility
  • Gpu cluster observability
  • Compiler technologies
  • Slurm

These tags are our reading of the posting. They can miss something; the original posting is the reference.

Do you qualify?

Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.

Check your fit