Senior Applied Scientist: ML Systems & Personalization

Amazon; San Francisco (CA); On-site; USD 192,200 - 260,000; 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 design, develop, and deploy production ML systems at scale across business domains in the San Francisco area. You will lead end‑to‑end ML initiatives, collaborating with cross‑functional teams to translate business challenges into rigorous technical solutions.

The role emphasizes building scalable models, advancing NLP and generative AI, and delivering measurable impact for millions of users.

Qualifications

• 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.
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark etc.
• Experience in driving end to end delivery, and communicating results to senior leadership.
• Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment.
• Experience with building LLMs, generative AI applications on AWS.
• Experience with personalization, recommendation systems, or adaptive learning systems.

Responsibilities

• Design and deploy large‑scale machine learning systems in production environments.
• Develop innovative ML solutions using state‑of‑the‑art techniques including deep learning, NLP, and generative AI.
• Create ML solutions that personalize manager onboarding and development experiences — identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts.
• Partner to build causal inference models and experimental frameworks to measure impact.
• Collaborate with product managers, engineers, and business leaders to define technical roadmaps.
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Skills

Java

C++

Python

Deep learning

Machine learning

LLMs

Generative AI

Education

PhD or Master's with 6+ years of applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

AWS

Job description

Amazon is seeking a Senior Applied Scientist to design, develop, and deploy production ML systems at scale across business domains in the San Francisco area. You will lead end‑to‑end ML initiatives, collaborating with cross‑functional teams to translate business challenges into rigorous technical solutions.

The role emphasizes building scalable models, advancing NLP and generative AI, and delivering measurable impact for millions of users.