Senior Applied Scientist

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

Basic Qualifications
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- PhD plus 5+ years of research experience, or a Master’s degree plus 10+ years of research experience in one of the following disciplines: Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field
- 5+ years of experience in Deep Learning, Natural Language Processing/Understanding, GenAI and/or Reinforcement Learning
- Experience with Python, SQL, other scripting languages
- Experience delivering science solutions into production systems

Preferred Qualifications
- 3+ years of building machine learning models or developing algorithms for business application experience
- Author of publications at top-tier peer-reviewed conferences or journals, cited by other scientists
- Experience with building Recommendation Systems and/or large-scale content understanding systems
- Experience with large-scale online experimentation / A/B testing to validate science solutions in production
- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud platforms
- Experience with Agile Software Development, and programming in at least one compiled language such as Java, C++, C#
- Experience mentoring scientists and leading science/design reviews across teams, and domain knowledge of comparable products (digital, retail)