Senior Applied Scientist: Personalization Memory

Amazon; Kansas City (MO); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Senior Applied Scientist to lead the research direction for a system delivering persistent, compounding memory. You will own the scientific roadmap, run a research agenda, and mentor junior scientists while collaborating with engineers and product managers.

The team focuses on personalization at scale and emerging knowledge systems. Responsibilities include defining knowledge acquisition and retrieval strategies, designing evaluation frameworks, and guiding production impact.

Qualifications

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

Responsibilities

• Own the scientific roadmap for personalization initiatives and translate problems into ML formulations.
• Lead end-to-end research from problem formulation to production impact measurement.
• Mentor Applied Scientists and establish scientific standards for the team.
• Partner with engineering leadership to translate research into architecture decisions.

Skills

3+ years of ML models

Java/C++/Python

Neural deep learning

Education

PhD or MS + 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 lead the research direction for a system delivering persistent, compounding memory. You will own the scientific roadmap, run a research agenda, and mentor junior scientists while collaborating with engineers and product managers.

The team focuses on personalization at scale and emerging knowledge systems. Responsibilities include defining knowledge acquisition and retrieval strategies, designing evaluation frameworks, and guiding production impact.