ML Infra Engineer (TPU/Jax/Optimization)
Tasks
- Allocate cloud GPU TPU resources
- Build experiment launch and monitoring tooling
- Debug training performance bottlenecks
- Design training infrastructure
- Evolve JAX model training code
- Handle checkpointing and metrics logging
- Implement training and inference systems
- Improve device utilization and synchronization
- Maintain efficient cloud training workloads
- Manage scheduling and job orchestration
- Optimize memory usage and throughput
- Scale distributed training
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Checkpointing | Cloud Computing | Data loading | Device Utilization | Distributed Synchronization | Distributed Training | Evaluation | GCP | GKE | GPU | JAX | Kubernetes | Memory Optimization | Metrics logging | Multi Host | Multi Host Setup | Performance Profiling | PyTorch | Python | Slurm | TPU | Throughput Optimization
Education
N/A
Regions
Countries
States
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