Transform Lives through Audio Storytelling
Audible believes in the power of stories to transform lives. We work with leading creators to produce and share audio storytelling with millions of global listeners.
About This Role
This role employs cutting-edge machine learning, deep learning, and Natural Language Processing techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms.
You will analyze complex patterns in transaction data, identify anomalies, and create predictive models that anticipate potential fraud before it occurs. Your work will safeguard company assets, protect customers from financial harm, and maintain system integrity.
Your responsibilities include:
* Protecting Audible's customers and content creators against AI-generated fraud
* Developing Amazon-scale data engineering & modeling pipelines
* Creating groundbreaking fraud detection and mitigation solutions using cutting-edge approaches
* Collaborating with data scientists, ML experts, engineers, and business teams across the globe
About Audible
Audible is a leading producer and provider of audio storytelling, sparking listeners' imaginations with immersive experiences that enrich daily lives.
BASIC QUALIFICATIONS
* MS in Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or related quantitative field +5 yrs relevant experience; or PhD
* Fluency in Python, SQL, Java, C++, or other programming languages
* Experience in algorithm development
* State-of-the-art machine learning technologies
* Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
* Big Data Engineering with Spark / AWS EMR & Glue
PREFERRED QUALIFICATIONS
* Domain knowledge of comparable products (digital, retail)
* Publications at top-tier peer-reviewed conferences or journals in natural language processing/understanding, deep learning, machine learning, or speech processing
* Proven track record of innovation in creating novel algorithms and advancing the state of the art