Senior Applied Scientist: AI Personalization & Fraud

Amazon; Seattle (WA); In loco; USD 167.000 - 226.000; Tempo pieno

Vantaggi offerti da questo lavoro

RSUs

Sign-on payments

Health insurance

401(k) matching

Parental leave

Descrizione del lavoro

Amazon is seeking a senior ML scientist on the AWS Startups team in Seattle to own the end-to-end science for problem areas, including data strategy, model development for recommendations, segmentation, and fraud detection, with production deployment.

You will apply generative AI and LLMs to personalize founder guidance, design experiments balancing accuracy, latency, and cost, and collaborate with product and engineering teams to turn science into scalable products.

Competenze

• 3+ years of building machine learning models for business applications.
• PhD, or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Mansioni

• 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.

Conoscenze

ML model development

Programming in Java/Python/C++

Data analysis

Formazione

PhD or MS + 6+ years applied research

Strumenti

Java

C++

Python

Neural networks

Descrizione del lavoro

Amazon is seeking a senior ML scientist on the AWS Startups team in Seattle to own the end-to-end science for problem areas, including data strategy, model development for recommendations, segmentation, and fraud detection, with production deployment.

You will apply generative AI and LLMs to personalize founder guidance, design experiments balancing accuracy, latency, and cost, and collaborate with product and engineering teams to turn science into scalable products.