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ABOUT THIS ROLE
As an 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 (ML), Artificial Intelligence (AI), Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.ABOUT YOU
As an Applied Scientist, you will...- Design, develop, and deploy modeling techniques, with a focus on Content --Understanding and Recommendations, employing a wide range of methodologies, working from simple to complex
- Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment- Push the boundary of innovationABOUT AUDIBLE
- MSc in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- Experience in understanding of standard data structures, algorithms, and software development
- Fluency in Python, SQL or similar scripting languages
- Algorithm development experience
- Breadth in ML technologies
- Experience in employing LLMs/GenAI to solve problems
- PhD in one of the following disciplines: Computer Science, Computer Engineering, Machine Learning, Data Science, Applied Math, or a related quantitative field
- 1+ years of industry experience in Deep Learning, Natural Language Processing/Understanding, Reinforcement Learning and/or GenAI
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
- Experience with Agile Software Development
- Experience with programming in at least one compiled programming language such as Java, C++, C#
- Publications at top-tier peer-reviewed conferences or journals
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