Applied Scientist, Denied-Party Screening (DPS)

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to join our security team in Seattle, WA. You will drive ML/AI model research, collaborate with engineers and data scientists, and craft scalable solutions for detecting prohibited transactions and suspicious entities.

You will prototype, test, and iterate models, communicate complex results to stakeholders, and mentor junior scientists. A Day 1 style culture with world-class benefits awaits.

Qualifications

• 3+ years of building models for business applications.
• Experience building machine learning models or developing algorithms for business applications.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Drive the research, design, and development of novel ML/AI models and systems to power critical products and services.
• Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints.
• Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback.
• Communicate complex technical concepts to technical and non-technical stakeholders.
• Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques.

Skills

ML model development

Algorithm design

Programming languages

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is seeking an Applied Scientist to join our security team in Seattle, WA. You will drive ML/AI model research, collaborate with engineers and data scientists, and craft scalable solutions for detecting prohibited transactions and suspicious entities.

You will prototype, test, and iterate models, communicate complex results to stakeholders, and mentor junior scientists. A Day 1 style culture with world-class benefits awaits.