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Amazon Principal Applied Scientist AGI Customization 
United States, California, Sunnyvale 
408324822

14.09.2025
DESCRIPTION


Key job responsibilities
In this role, you will:- Lead the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation- Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO)- Create robust evaluation frameworks for assessing model performance across different domains and use cases
- Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment
- Design and implement secure access mechanisms for early model checkpoints and weights
- Think big about the evolution of model customization technologies over a multi-year horizon, identifying new opportunities to enhance enterprise AI capabilities
- Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation
- Monitor and analyze trends in AI to continuously refine the customization strategy, ensuring alignment with industry best practices and emerging standards


BASIC QUALIFICATIONS

Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Excellent written and spoken communication skills.

PREFERRED QUALIFICATIONS

PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science with 10+ years of combined academic and research experience. First‑author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Mentors and trains the research scientist community on complex technical issues. Excellent written and spoken communication skills with successful delivery to customers