Machine Learning Engineer, Performance Tooling
Tasks
- Analyze profiling data with roofline analysis
- Design and build performance tools
- Develop deep learning models with PyTorch
- Measure and predict AI performance
- Monitor regressions and alert on performance changes
- Optimize model latency and throughput
- Predict latency memory utilization and compute cost
- Root cause workload bottlenecks
- Set performance targets with model and runtime teams
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Deep learning | Distributed Training | Latency optimization | Monitoring | Profiling | PyTorch | Python | Regression alerting | Roofline analysis | Throughput Optimization
Education
N/A
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