Audible · 9 hours ago
Applied Scientist
Audible is a leading producer and provider of audio storytelling, committed to transforming lives through immersive experiences. As an Applied Scientist, you will solve complex real-world problems using AI and ML, collaborate with various teams, and develop innovative solutions that enhance productivity and unlock new business value.
AudioAudiobooksDigital EntertainmentMedia and Entertainment
Responsibilities
Design and implement innovative AI solutions across our three pillars: driving internal productivity, building the blueprint for how Audible works with AI, and unlocking new value through ML & AI-powered product features
Develop machine learning models, frameworks, and evaluation methodologies that help teams streamline workflows, automate repetitive tasks, and leverage collective knowledge
Enable self-service workflow automation by developing tools that allow non-technical teams to implement their own solutions
Collaborate with product, design and engineering teams to rapidly prototype new product ideas that could unlock new audiences and revenue streams
Build evaluation frameworks to measure AI system quality, effectiveness, and business impact
Mentor and educate colleagues on AI best practices, helping raise the AI fluency across the organization
Qualification
Required
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
2+ years of building machine learning models or developing algorithms for business application experience
PhD in computer science, machine learning, engineering, or related fields, or experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
Experience working with agile development methodologies
Have publications at top-tier peer-reviewed conferences or journals
Experience with application of frontier models and agentic frameworks to create (semi-) autonomous AI systems
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Audible
Audible is an internet provider of spoken audio entertainment, educational programming, and information. It is a sub-organization of Amazon.
H1B Sponsorship
Audible has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (130)
2024 (131)
2023 (150)
2022 (168)
2021 (106)
2020 (133)
Funding
Current Stage
Public CompanyTotal Funding
$14.5MKey Investors
HV CapitalApax Partners
2008-01-31Acquired
2006-10-05Post Ipo Equity
2004-08-01Post Ipo Equity
Leadership Team
Recent News
Portugal News
2025-12-22
2025-12-15
Company data provided by crunchbase