Senior Applied Scientist

4 weeks ago


Stony Ridge, Ohio, United States Amazon Full time
About This Role

We're seeking a highly skilled Senior Applied Scientist to join our team at Audible, where we're revolutionizing the way people experience audio storytelling. As a key member of our Playback team, you'll be responsible for designing and developing cutting-edge solutions that drive the next generation of audio streaming experiences.

As an expert in machine learning, natural language processing, and deep learning, you'll work closely with our team of scientists and engineers to develop and deploy innovative algorithms and models that improve the overall playback experience for our millions of global listeners.

Some of the key responsibilities of this role include:

  • Designing and developing scalable, efficient, and automated solutions for large complex use cases across the Playback org
  • Partnering closely with other Amazon scientists focused on streaming insights and optimization use cases
  • Working closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features
  • Mentoring and growing the scientists in the team and across Amazon

We're looking for a highly motivated and collaborative individual who is passionate about innovation and has a strong track record of delivering high-impact results. If you're excited about the opportunity to join our team and contribute to the next generation of audio storytelling, we'd love to hear from you

About Audible

Audible is the leading producer and provider of audio storytelling, with a mission to spark listeners' imaginations and offer immersive, cinematic experiences that enrich their daily lives. We're a global company with an entrepreneurial spirit, and we're passionate about making a positive impact on our customers and communities.

Basic Qualifications
  • 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 programming 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
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


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