Applied Scientist III, AWS Startups

AWS Startups supports hundreds of thousands of founders globally - from first credit to scaled production workload. Data and machine learning are how we identify high-potential startups early, personalize the guidance we deliver, and decide where to invest next. We recently launched AWS Startup Advisor, an AI-powered service that brings AWS expertise directly into the developer tools founders already use, and we need a scientist to build the ML capabilities that power its proactive recommendations. In this role, you will own science problems end-to-end - from the data foundation that unifies signals about founders and their products, through model design and evaluation, to production deployment serving hundreds of thousands of startups. If you want your models to reach real founders the same week you ship them, this is the role.

Key job responsibilities

• Own the science for problem areas end-to-end: frame the problem, define the data strategy, build and evaluate ML models for recommendation systems, startup segmentation, and fraud detection, and deploy them into production.
• Apply generative AI and large language models to personalize the technical guidance founders receive, including retrieval, ranking, and evaluation of LLM-powered experiences.
• Design and run experiments that keep model quality quantified and defensible, making clear trade-offs between accuracy, latency, and cost as you balance rapid iteration with production reliability.
• Partner with product, engineering, design, and go-to-market teams to translate science into scalable products, and communicate results clearly to both technical and non-technical leaders.
• Raise the scientific bar through design and code reviews, mentor other scientists and engineers, and contribute to the broader scientific community through publications or peer reviews.

A day in the life

You might start the morning digging into a messy dataset to uncover a new segmentation signal, then shift to reviewing an A/B test that measures how a recommendation model is changing founder engagement. After lunch you could pair with an engineer to optimize inference latency for a fraud-detection model, then join a product review where you present trade-offs between two ranking approaches for AWS Startup Advisor. Expect to regularly move between hands-on modeling work and cross-team conversations that shape what gets built next.

About the team

The AWS Startups team builds products and platforms that support startup customers at every stage of their journey - from onboarding and credit programs to AI-powered guidance and scale solutions. We partner with business development, field marketing, and solutions architecture teams worldwide, and our portfolio serves hundreds of thousands of startups globally. We are building the next generation of AI-native products that make world-class cloud expertise accessible to every founder, and you will help shape the scientific direction that gets us there.