Software Dev Engineer II, Stores Foundational AI -SFAI
Tasks
- Build observability systems for training dynamics and experiment tracking
- Build scalable data infrastructure for ingestion processing and delivery
- Collaborate to improve training efficiency and reliability
- Design training system for model training and reinforcement learning
- Develop system design and technical roadmap
- Implement RL post training pipelines rollout reward optimization
- Monitor and tune RL training stability using PPO GRPO RLOO
- Optimize RL post training efficiency for GPU utilization and batching
- Profile and eliminate compute networking and storage bottlenecks
- Run experiments and iterate to unblock research progress
- Translate RL algorithms into scalable production systems
Perks/Benefits
Skills/Tech-stack
Async Rollouts | Batching | C++ | CUDA | Data Delivery | Data Ingestion | Data Processing | Distributed Training | Experiment tracking | Fault Tolerance | GPU Optimization | GRPO | Generative AI | KL divergence | Kernel development | Language Models | Large Language Models | Learning algorithms | Machine Learning | Memory Management | Monitoring | Observability | PPO | Parallel Computing | RLOO | Reinforcement Learning | Reinforcement Learning Stability | Reinforcement learning algorithms | Reward Optimization | Sequence Packing | Training pipelines | Transformers
Education
N/A
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