Applied Scientist III, AWS Startups

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Job ID: 10569747 | Amazon Web Services, Inc.

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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

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- 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 commu

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8bfrsj