Senior ML Scientist — Flexible Hours & Security AI

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

Job summary

Amazon is seeking a Senior Applied Scientist to advance ML/AI systems within the Security organization at Seattle. You will spearhead research, design, and implementation of models that detect and prevent prohibited transactions, collaborating with engineers, data scientists, and domain experts across the company.

You will mentor junior scientists, translate complex findings into actionable insights, and drive rapid prototyping and experimentation to achieve measurable impact on risk management

Qualifications

• 5+ years of building machine learning models for business applications.
• PhD, or Master's degree with 6+ years of applied research experience.
• Proficiency in Java, C++, Python or related languages.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Drive the research, design, and development of novel ML/AI models and systems to power critical products and services.
• Collaborate cross-functionally to understand business requirements, customer needs, and technical constraints.
• Rapidly prototype, test, and iterate on ML/AI solutions with data-informed feedback.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Mentor and grow a team of ML scientists and engineers.

Skills

ML model development

Java

C++

Python

Deep learning

Education

PhD or MS + 6+ years

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon is seeking a Senior Applied Scientist to advance ML/AI systems within the Security organization at Seattle. You will spearhead research, design, and implementation of models that detect and prevent prohibited transactions, collaborating with engineers, data scientists, and domain experts across the company.

You will mentor junior scientists, translate complex findings into actionable insights, and drive rapid prototyping and experimentation to achieve measurable impact on risk management