Director, Applied Science, Alexa for Shopping (Rufus)
Tasks
- Architect multi-agent systems
- Define science strategy for conversational AI platform
- Deliver latency sensitive customer facing AI systems
- Deploy models into production
- Establish experimentation evaluation and model iteration best practices
- Lead multidisciplinary applied science and machine learning teams
- Mentor and develop technical leaders
- Partner with product engineering and leadership to align AI investments
- Scale multi agent systems
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Mental health support
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Agent systems | Deep Deterministic Policy Gradient | Direct Preference Optimization | Distillation | Experimentation | Fine Tuning | Human Feedback | Language Models | Language Processing | Large Language Models | Learning from Human Feedback | Machine Learning | Model Evaluation | Model Iteration | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Policy Gradient | Preference optimization | Production Deployment | Recommender Systems | Reinforcement Learning | Reinforcement Learning from Human Feedback
Education
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