Applied Scientist II, US Prime And Marketing Tech

Amazon Stores Applied Scientist

Amazon Stores is looking for exceptional Applied Scientists to join our efforts in developing generative AI solutions in marketing. In this role, you will be part of a team that designs, implements, and evaluates state-of-the-art agentic AI solutions to enhance customer experiences through intelligent, personalized interactions.

Key job responsibilities:

• Research, develop, and deploy novel approaches using large language models (LLMs) and multi-agent AI systems
• Design and implement scalable solutions for personalized recommendations and customer insights
• Create innovative evaluation frameworks for complex AI systems
• Collaborate with cross-functional teams to integrate AI solutions into production environments
• Conduct rigorous experimentation and data analysis to improve model performance

Qualifications:

• PhD in Computer Science, Machine Learning, AI, or related field; OR Master's degree with 2+ years of relevant industry experience
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.)
• Experience building and deploying machine learning models in production environments
• Proficiency in natural language processing techniques and applications
• Strong publication record or demonstrated practical experience in machine learning
• Experience working with large language models (LLMs) and prompt engineering
• Knowledge of multi-agent systems and their applications
• Background in recommendation systems or personalization technologies
• Experience with uncertainty quantification in AI systems
• Ability to design and implement automated testing frameworks for ML systems
• Previous experience in AI labs or AI-focused startups
• Strong communication skills and ability to translate complex technical concepts to diverse audiences
• Experience with model evaluation and validation methodologies
• Track record of innovation in applied machine learning