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Amazon Principal Applied Scientist 
United States, New Jersey, Newark 
959291642

08.04.2024
BASIC QUALIFICATIONS

- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Data Science, Applied Math, Operational Research or a related quantitative field
- 10+ years of industry experience in Deep learning, Natural Language Processing/understanding, Reinforcement learning, and Speech processing
- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.
- Strong algorithm development experience
- Depth and breadth in 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
- Experience with Agile Software Development

DESCRIPTION

Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.ABOUT THIS ROLE
As a Principal Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including machine learning, artificial intelligence (AI), natural language processing (NLP), reinforcement learning (RL), real-time and distributed systems.


PREFERRED QUALIFICATIONS

- Domain knowledge of comparable products (digital, retail)
- Publications at top-tier peer-reviewed conferences or journals in one of those areas (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