Applied Scientist, Conversational AI Modeling and Learning - Amazon.com

Key Responsibilities

• Design, implement, and evaluate large language model architectures tailored for conversational AI applications.
• Develop algorithms that fuse external knowledge bases and APIs into model inference pipelines.
• Collaborate with cross‑functional teams to integrate AI solutions into Amazon Devices products at scale.
• Conduct experiments, analyze results, and iterate on model performance using metrics such as relevance, latency, and user satisfaction.
• Publish research findings and contribute to internal knowledge sharing platforms.

Requirements

• Ph.D. or equivalent experience in Computer Science, Electrical Engineering, or a related field with a focus on NLP, ML, or AI.
• Strong expertise in large language models, transformer architectures, and prompt engineering.
• Proficiency in Python and experience with deep‑learning frameworks (e.g., PyTorch, TensorFlow).
• Hands‑on experience deploying scalable AI services on cloud platforms, preferably AWS.
• Demonstrated ability to translate research concepts into production‑ready solutions.