Machine Learning Engineer — Training Optimization
Tasks
- Build and maintain training infrastructure
- Collaborate with research teams on training strategies
- Define and monitor training performance metrics
- Implement advanced training techniques
- Improve distributed training strategies
- Optimize large scale model training pipelines
- Profile and resolve performance bottlenecks
- Translate research concepts into production systems
- Tune training components
Perks/Benefits
Skills/Tech-stack
BF16 | Backpropagation | Checkpointing | Data parallelism | DeepSpeed | Distributed Training | FP16 | FP8 | FSDP | Fault Tolerance | GPU Computing | Gradient Checkpointing | Learning Rate | Learning Rate Scheduling | Machine Learning | Megatron | Model Parallelism | Numerical precision | Optimization Algorithms | Pipeline parallelism | Profiling | PyTorch | Reproducible Workflows | Zero
Education
N/A
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