Software Dev Engineer II, Stores Foundational AI -SFAI
Tasks
- Build observability systems for training dynamics and experiments
- Build scalable data infrastructure for ingestion processing and delivery
- Collaborate to improve training efficiency and reliability
- Contribute to system design and technical roadmap
- Design training system for model training and reinforcement learning
- Develop end to end RL post training pipelines
- Improve RL training stability by monitoring and tuning metrics
- Optimize RL post training efficiency using GPU batching and async rollouts
- Profile and eliminate compute networking and storage bottlenecks
- Run and iterate experiments to unblock research progress
- Translate RL algorithms into scalable production systems
Perks/Benefits
- 401k matching
- Adoption reimbursement
- Dental insurance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Medical life and AD D insurance
- Mental health support
- Paid time off
- Parental leave
- Surrogacy reimbursement
- Vision insurance
Skills/Tech-stack
Async Rollouts | Batching | C++ | CUDA | Cluster computing | Data Delivery | Data Ingestion | Data Processing | Distributed Training | Experiment tracking | Fault Tolerance | GPU Utilization | JAX | Language Models | Large Language Models | Machine Learning | Memory Management | Model Inference | Model Training | Monitoring | Observability | PPO | Parallel Computing | Post-training | PyTorch | Python | Reinforcement Learning | Reinforcement Learning Optimization | Reinforcement Learning Post Training | Reinforcement Learning Stability | SGLang | Sequence Packing | TensorRT | Transformer Architecture | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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