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Applied Scientist

Audible GmbH - B38

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2,021 open scientist roles across 309 companies are on ApplySarthi right now, most of them in Bengaluru (134), Hyderabad (68), Delhi NCR (33).

What scientist roles keep asking for: Python (48%), Machine learning (37%), SQL (22%), C++ (18%), Java (17%), Deep learning (14%), R (13%), LLMs (13%) — counted across their open postings here.

Remote Applied Scientist jobs · AWS jobs · C++ jobs · Deep learning jobs · Generative AI jobs

Audible GmbH - B38 has 7 open roles listed here.

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 GmbH - B38.

Questions you are likely to be asked

  1. Why do you want to join Audible GmbH - B38?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. What is a weakness you are working on, and how?
  4. Tell me about yourself, and why this role is the right next step.
  5. Tell me about a problem you solved at work that you are proud of.

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Practise the Applied Scientist at Audible GmbH - B38 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: - Knowledge of data structures, algorithm design, statistics, and system design - MSc + 5ys of relevant experience, or PhD +1 year in one of the following disciplines: Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field - 3+ years of experience in Deep Learning, Natural Language - Processing/Understanding, GenAI and/or Reinforcement Learning - Proficiency in Python, SQL, and other scripting languages - Experience employing and innovating with LLMs/GenAI to solve complex problems Preferred: - 2+ years of practical machine learning experience - Experience in agile software development methodology - Experience with programming languages such as Python, Java, C++ - Have publications at top-tier peer-reviewed conferences or journals - Experience with building Recommendation Systems - Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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.

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Listed on amazon · posted 2026-03-23. ApplySarthi collects openings and links to application pages; the role is advertised by Audible GmbH - B38, not by us.