Senior ML Scientist – Scalable AI for People & Learning

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

Benefits offered by this job

Health insurance (medical, dental, etc

401(k) matching

Paid time off

Parental leave

Job summary

Amazon seeks a Senior Applied Scientist to build production machine learning systems at scale, solving complex business problems and impacting millions of users. You will design, deploy, and evaluate ML solutions across predictive modeling, NLP, recommendation systems, and generative AI, partnering with cross‑functional teams to translate challenges into robust technical roadmaps.

The role emphasizes collaboration, experimentation, and presenting results to senior leadership, with a focus on

Qualifications

• 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

• 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 gaps and recommending learning pathways.
• 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

ML modeling

Java

C++

Python

Deep learning

NLP

Large-scale ML systems

Education

PhD

MS + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Hadoop

Spark

Job description

Amazon seeks a Senior Applied Scientist to build production machine learning systems at scale, solving complex business problems and impacting millions of users. You will design, deploy, and evaluate ML solutions across predictive modeling, NLP, recommendation systems, and generative AI, partnering with cross‑functional teams to translate challenges into robust technical roadmaps.

The role emphasizes collaboration, experimentation, and presenting results to senior leadership, with a focus on