Senior Applied Scientist - Startup AI & Recommendations

Emploive; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Job summary

Amazon in Seattle is seeking a scientist to build ML capabilities powering AWS Startups Advisor, owning models end-to-end from data to production, serving hundreds of thousands of startups. You will apply generative AI and design experiments to balance accuracy, latency and cost, while collaborating with product, engineering, design and GTM teams to ship scalable recommendations.

The role requires 3+ years in ML, a PhD or a Masters with 6+ years of applied research, and strong programming in

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Masters with 6+ years of applied research experience.
• Experience programming in Java, C++, Python.
• Experience with neural deep learning methods.

Responsibilities

• Own the science for end-to-end problems: 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.

Skills

Machine Learning

Deep Learning

Programming (Java/C++/Python)

Education

PhD in a relevant field

Masters with 6+ years of applied research

Tools

scikit-learn

TensorFlow

MxNet

Spark MLlib

Job description

Amazon in Seattle is seeking a scientist to build ML capabilities powering AWS Startups Advisor, owning models end-to-end from data to production, serving hundreds of thousands of startups. You will apply generative AI and design experiments to balance accuracy, latency and cost, while collaborating with product, engineering, design and GTM teams to ship scalable recommendations.

The role requires 3+ years in ML, a PhD or a Masters with 6+ years of applied research, and strong programming in