Staff Applied Scientist
Tasks
- Build agentic AI systems
- Collaborate with product leaders
- Deploy agentic AI systems
- Design retrieval-augmented generation pipelines
- Develop generative AI solutions
- Develop scalable AI/ML solutions
- Evaluate agent behavior in production
- Iterate post-launch
- Pre train and fine tune large language models
- Prototype and productionize research
- Train reinforcement learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | C++ | DPO | Deep learning | Distillation | Distributed Training | Function Calling | Generative AI | Graph Neural Networks | Human Feedback | JAX | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | LoRA | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | Neural Networks | PEFT | PyTorch | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | TensorFlow | Tool usage | Transformer Models
Education
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