Amazon

Applied Science Manager, BCX

Posted On

Jan. 1, 1970

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

July 29, 2025

Job Description

Are you interested in improving the Digital Reading Experience. We are from Kindle Books Team looking for a Manager in Applied Science who will be managing the Applied Scientists. The team is looking to take the reading experience in Kindle to next level with a set of innovations!

We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and this role is specifically for a Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision and bringing the state-of the art innovations for improving Reading experience. The manager will be managing the Scientists to bring in state of the art solutions to improve Reading experience.

Key job responsibilities
You invent and design new solutions for scientifically-complex problem areas

You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc.

Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined.

You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.

You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones.

You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members.

You set standards and proactively drive components to use and improve on state-of-the-art techniques.

You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others.

You hire, groom and grow Applied Scientists & ML engineers. - 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics

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