Amazon Senior Applied Scientist 

United States, New Jersey, Newark 

211129684

ABOUT THIS ROLE
As a Senior 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. Your primary focus will be on designing, developing, and deploying highly innovative modeling techniques to production to advance the state of the art in aforementioned domains. Your decision-making will consistently incorporate robust, data-driven business and technical judgment.ABOUT YOU
You have a background in modern programming languages, distributed system design, service-oriented architecture, and high scalability. Experience in advanced machine learning technologies and Artificial intelligence is a big plus. Equally important is the ability to multi-task, invent, create reliable and maintainable code, and find creative, scalable solutions to difficult problems. You'll work with experienced managers who'll care for you. We'll guide you on your career growth path and there's no shortage of technical challenges.As a Senior Applied Scientist, you will...
- Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment
ABOUT AUDIBLE

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

- 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