Senior GenAI & Multimodal Scientist

Amazon; New York (NY); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Stock-based compensation (RSUs)

Health benefits

401(k) matching

Paid time off

Parental leave

Job summary

Amazon ASCS is seeking an innovative Applied Scientist to advance product identity and relationships at scale using GenAI, VLMs, and multimodal data. You will partner with tech and business leaders to deploy models across billions of products and millions of customers.

You will own end-to-end ML pipelines, design robust experiments, and contribute to publishable research while mentoring teammates in a fast-paced, high-impact environment in Seattle.

Qualifications

• 4 years of applied research experience.
• 3 years of building machine learning models for business application experience.
• 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.

Responsibilities

• Formulate novel research problems at the intersection of GenAI, multimodal learning, and large-scale information retrieval.
• Design and implement leading models leveraging VLMs, foundation models, and agentic architectures.
• Pioneer explainable AI methodologies balancing performance with scalability for production systems.
• Own end-to-end ML pipelines from ideation to deployment processing petabytes of multimodal data.
• Define research roadmaps aligned with business priorities and product improvements.
• Mentor scientists and engineers on advanced ML techniques and experimental design.
• Represent the team in the broader science community via publications and talks.

Skills

Applied research

Machine learning

Experiment design

Neural networks

Education

PhD or Master’s + 6 years

Tools

Java

Python

C

Job description

Amazon ASCS is seeking an innovative Applied Scientist to advance product identity and relationships at scale using GenAI, VLMs, and multimodal data. You will partner with tech and business leaders to deploy models across billions of products and millions of customers.

You will own end-to-end ML pipelines, design robust experiments, and contribute to publishable research while mentoring teammates in a fast-paced, high-impact environment in Seattle.