Applied Scientist, ML Accelerator - GenAI & LLM Innovation

Amazon Science; San Diego (CA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science seeks an Applied Scientist to help build Agentic AI, LLMs, and deep learning systems across the Seller lifecycle. The role focuses on researching and prototyping AI applications at scale, partnering with engineers to deliver broad business benefits.

You will contribute to state-of-the-art models, leverage GPUs/TPU hardware, and influence product with cross‑functional collaboration. A PhD or Master’s with ML/CS background is required.

Qualifications

• PhD or Master’s in CS/CE/ML or related field.
• 3+ years building ML models or algorithms for business applications.
• Experience with ML fundamentals, LLMs, training/inference, and hardware acceleration.

Responsibilities

• Research and prototype AI/ML applications solving strategic problems across SPX domains.
• Collaborate with engineers and partners to design and implement scalable solutions.
• Mentor junior team members and contribute to hiring.

Skills

Programming in Java

Programming in C++

Programming in Python

LLM fundamentals

Model deployment

Education

PhD or Master’s in CS/CE/ML

Tools

GPUs/TPU

Job description

Amazon Science seeks an Applied Scientist to help build Agentic AI, LLMs, and deep learning systems across the Seller lifecycle. The role focuses on researching and prototyping AI applications at scale, partnering with engineers to deliver broad business benefits.

You will contribute to state-of-the-art models, leverage GPUs/TPU hardware, and influence product with cross‑functional collaboration. A PhD or Master’s with ML/CS background is required.