Machine Learning Engineer (PyTorch)

Responsibilities

• Complete up to 3 assigned technical tasks involving low-level PyTorch work
• Ensure code runs correctly through full runtime (including unattended/extended runtime)
• Complete tasks independently within a rolling onboarding schedule

Requirements

• Full-time professional or research experience with PyTorch
• Demonstrated experience with internals-level PyTorch work (custom autograd functions, tensor/CUDA extensions, or ATen-level work)
• Access to suitable hardware (GPU-enabled machine or cloud instance)

Preferred Qualifications

• Background in ML, systems engineering, or distributed systems engineering
• Experience with distributed training internals
• Experience with compiler/graph-level work or numerical/algorithmic runtime optimization
• Contributions to PyTorch or adjacent open-source libraries

Why Apply

$150 per task — complete up to 3 tasks
Fully remote, work on your own schedule
Low time commitment: ~2 hours active work per task
Rolling onboarding starting next week

Pay

$150 per task

Schedule

Rolling onboarding starting next week