If you have ever asked Alexa a question like “What are healthy foods for kids?” — chances are, our team helped answer it. We are a small but ambitious group of engineers and scientists building state of the art solutions using Large Language Models (LLMs) to generate billions of high-quality product fact across the Amazon catalog. In fact, if you have browsed any product page on Amazon, you have likely read content written by our models. With millions of new and updated products added to the catalog every day, we’re just getting started — and there's never been a more exciting time to join us
As an engineer on the team, you will collaborate closely with a tight-knit group of software engineers, applied scientists, and product managers to push the boundaries of customer experience through agile, innovative development. You will be at the forefront of building core infrastructure that powers running Large Language Models (LLMs) at Amazon scale — generating product facts from product inputs like titles, descriptions, and images, across 15+ languages. You will deploy these models using next-generation science and AWS technologies, including Kubernetes (EKS), to ensure high availability, scalability, and impact across Amazon’s global retail catalog. Your work won’t just be behind the scenes — the outputs of your systems will directly power product detail pages seen by millions of customers. Beyond engineering, you’ll help shape our technical vision, influence business strategy, and drive the team’s long-term roadmap.
A successful candidate will have an established background in large scale software systems, strong technical ability, great communication skills, and motivation to solve new, ambiguous problems.
Unique Opportunities
- Learn state of the art engineering and science techniques- Scientists and engineers work closely together, giving you the chance to learn new skills.
- Global impact on hundreds of millions of Amazon customers means your career has high impact and opportunities to grow to the next level
Sample of the problems that the team is working on include:
- How can we automatically discover new diets, and show our customers customized experiences for gluten free, or keto friendly, protein bars?
- When the world faces a shortage of paper towels, how do we ensure our customers can always find the best price items?
- How do we use product images to help customers find the best dress for any occasion?
- When searching for “apple case” do you mean a cell-phone case compatible with an iPhone or a crate of apples?
- How can we identify the sleeve type of dresses in Amazon from its product image?
- Which cell-phone case is the most durable, ultra-thin and the best value for my money?
Responsibilities:
- Build scalable, efficient, and automated knowledge discovery systems
- Analyze and process large amounts of to extract valuable information from various sources (e.g. product catalog, search query etc.)
- Actively participate in idea and roadmap generation
- Work creatively through and around perceived limitations and/or challenges imposed by the delivery platform to enable delightful experiences for customers
- Effectively present work to all levels of the leadership
- Be an effective collaborator in a cross functional team of SDEs, Applied Scientists, Technical Program Managers, and Product Managers
