Sr Software Dev Engineer, Stores Foundational AI -SFAI
Tasks
- Architect and build scalable ML infrastructure
- Build RL post training pipelines
- Build observability for training dynamics and experiment tracking
- Design experimentation frameworks and tooling
- Develop generative AI for shopping
- Improve RL training stability
- Lead cross functional initiatives to productionize research
- Mentor engineers with code reviews and architectural guidance
- Optimize RL post training efficiency
- Own end-to-end ML projects
- Profile and eliminate compute networking storage bottlenecks
- Run experiments and iterate with research teams
- Translate RL algorithms into production systems
Perks/Benefits
- 401k matching
- Dental insurance
- EAP
- Flexible spending accounts
- Health insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Async Rollouts | Batching | Distributed Systems | Experiment tracking | GPU Utilization | Human Feedback | JAX | Language Models | Large Language Models | Learning from Human Feedback | Learning operations | Machine Learning | Machine Learning Operations | Observability | Policy Optimization | Prompt engineering | Proximal Policy Optimization | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reinforcement learning pipelines | Tensor Processing Units | Tensor processing | TensorRT | Transformers
Education
N/A
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