Senior Applied Scientist
Audible
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This role on the market
2,061 open scientist roles across 294 companies are on ApplySarthi right now, most of them in Bengaluru (147), Hyderabad (71), Delhi NCR (31).
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What scientist roles keep asking for: Python (52%), Machine learning (41%), SQL (25%), C++ (18%), Java (17%), R (15%), Deep learning (15%), LLMs (15%) — counted across their open postings here.
Applied Scientist jobs in the United States · Remote Applied Scientist jobs · AWS jobs · C# jobs · C++ jobs · Deep learning jobs
Audible has 46 open roles listed here.
- Associate Director, Brand & Content Marketing UK (Maternity Cover)
- Software Development Engineer
- Manager, Original Content - 18-Month Contract
- Software Development Engineer, FinTech/Customer Service Tech
- Data Scientist
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Audible.
Questions you are likely to be asked
- Why do you want to join Audible?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
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Practise the Senior Applied Scientist at Audible interview free →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. 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: - 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) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NJ, Newark - 183,800.00 - 248,700.00 USD annually
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Listed on amazon · posted 2026-10-02. ApplySarthi collects openings and links to application pages; the role is advertised by Audible, not by us.