Amazon Senior Applied Scientist - GenAI Demand Quality 

United States, New York, New York 

528700096

Key job responsibilities
* Serve as science lead and drive the scientific vision and roadmap for GenAI-powered advertising solutions. Set technical direction for agentic workflows that enhance advertiser interactions. Lead evaluation and selection of LLM technologies based on business impact and technical feasibility.* Lead the end to end design, implementation and experimentation of high-impact, high complexity scientific solutions. Architect end-to-end GenAI solutions that balance innovation with production reliability. Define and implement experimentation frameworks to validate GenAI solutions. Ensure solutions meet performance, scalability, and cost-efficiency requirements.* Collaborate with peer scientists across organizations to identify and implement best practices and shared solutions. Evaluate and benchmark state-of-the-art LLM approaches against business needs. Lead peer reviews and technical discussions to optimize solution complexity.* Guide software engineers on technical requirements and implementation. Establish best practices for LLM integration in production systems. Develop risk assessment frameworks and mitigation strategies for LLM-specific risks (hallucinations, bias, etc.)* Be an org-level thought leader in LLM and GenAI. Mentor team members in GenAI implementation and best practices

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with large scale distributed systems such as Hadoop, Spark etc.
- * PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI, LLM or reinforcement learning
- * Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- * Experience with large scale data analysis tools such as PySpark etc.
- * Pragmatic problem-solver, with the ability to think creatively and critically about complex problems
- * Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams