Applied Scientist, Core Search - Amazon.com

Key Responsibilities

• Design, prototype, and deploy large language model architectures to enhance search relevance for complex, natural‑language queries.
• Collaborate with cross‑functional teams to integrate LLM outputs into the core search pipeline, ensuring low latency and high throughput.
• Conduct rigorous evaluation and benchmarking against existing keyword‑based systems, publishing internal reports and external papers.
• Iterate on model training pipelines, leveraging AWS services for scalable data processing and model training.
• Mentor junior researchers and engineers, fostering a culture of experimentation and continuous improvement.

Requirements

• Ph.D. or Master’s in Computer Science, NLP, or related field with strong publication record.
• Proven experience building and scaling transformer‑based models for real‑world applications.
• Deep knowledge of NLP techniques, including tokenization, embeddings, and fine‑tuning.
• Hands‑on expertise with Python, PyTorch/TensorFlow, and AWS ML services.
• Excellent communication skills and ability to translate complex research into production‑ready solutions.