Senior Applied Scientist - Large-Scale ML & Generative AI

Amazon; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Applied Scientist to build production ML systems at scale. You will design, develop, and deploy ML solutions that impact millions of users and guide strategic decisions across the organization.

You will tackle predictive modeling, NLP, recommendation systems, and generative AI, collaborating with cross-functional teams to translate business challenges into rigorous technical solutions.

Qualifications

• 3+ years of building ML models for business applications.
• PhD or Master's with 6+ years of applied research.
• Proficiency in Java, C++, Python.
• Experience with neural deep learning methods.

Responsibilities

• Design and deploy large-scale machine learning systems in production environments.
• Develop innovative ML solutions using deep learning, NLP, and generative AI.
• Create ML solutions that personalize onboarding and development experiences.
• Partner to build causal inference models and experimental frameworks.
• Collaborate with product managers, engineers, and leaders to define roadmaps.
• Communicate complex technical concepts to diverse audiences.

Skills

Machine learning

Deep learning

Java

C++

Python

Education

PhD in a related field

Master's degree + 6+ years applied research

Tools

R

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon is seeking a Senior Applied Scientist to build production ML systems at scale. You will design, develop, and deploy ML solutions that impact millions of users and guide strategic decisions across the organization.

You will tackle predictive modeling, NLP, recommendation systems, and generative AI, collaborating with cross-functional teams to translate business challenges into rigorous technical solutions.