Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
The Role:
Amazon Design Technologies is a multi-disciplinary team that provides design software, systems platforms and design processes to our Product Development, New Technology, Operations, Retail, Footwear, Apparel and Manufacturing teams.
We're seeking innovative Applied Scientists passionate about leveraging advanced AI to tackle complex challenges in product intelligence, data integration, and knowledge discovery. In this role, you'll collaborate with teams across Amazon to drive customer-focused solutions and amplify the impact of your work on our global customer base.
Key job responsibilities
- Design and implement advanced AI models using the latest LLM and GenAI technologies to enhance product understanding, matching, and categorization at an unprecedented scale.
- Collaborate with cross-functional teams to integrate AI-driven insights into Amazon's Devices Knowledgebase.
- Lead the design and implementation of scalable, production-ready AI systems.
- Stay at the advance of AI research, continuously exploring and implementing new techniques in LLMs, GenAI, and multimodal learning to drive innovation in product intelligence.
- Contribute to the scientific community through publications, presentations, and collaborations with academic institutions.
A day in the life
You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.
You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
