Applied Science Manager

Amazon is hiring an Applied Science Manager in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions RAG, fine tuning and NLP among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ragfine-tuningnlp

Help authors around the world publish their books, reach readers, and get help when they need it. You'll build and lead our first science team in Bengaluru and shape the assistant authors turn to for answers and the models that keep the Books catalog trustworthy.

Key job responsibilities
- Hire, develop, and retain a high-performing team of applied scientists across levels, and set its practices for experimentation, evaluation, reviews, publishing, and patents
- Define the science strategy for how we help authors publish, grow, and succeed, balancing near-term launches with long-term bets
- Partner with engineering, product, and policy teams to take science from prototype to production and measure its impact on authors
- Write design and planning documents for your area, and present options, risks, and tradeoffs to senior leaders so they can decide
- Work closely with our scientists in the US to deliver faster for our authors and improve their experience with our services

About the team
Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first-time writers to full-time publishers. We value safety before speed and shared foundations over one-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers.

Basic qualifications

- Master's degree, or PhD
- 3+ years of scientists or machine learning engineers management experience
- 6+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language

Preferred qualifications

- Experience building large language model (LLM)-based agents or multimodal generative AI workflows, including tool use, planning, retrieval-augmented generation, or vision-language models
- Experience fine-tuning or post-training models, including with reinforcement learning
- Experience with natural language processing (NLP), statistics, data mining, or large-scale retrieval, embeddings, and ranking
- Experience evaluating generative AI systems, such as LLM-as-a-judge, human-calibrated audits, or online A/B testing
- Experience building a new team, including hiring across several levels
- Experience leading teams that deliver complex software systems to customers, including teams that use AI coding agents with safeguards such as automated tests and code review
- PhD in computer science, machine learning, statistics, or a related quantitative field, or publications at top-tier peer-reviewed venues (for example ACL, EMNLP, NeurIPS, ICML, CVPR, KDD) or patents

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.

How we rate this

Applied Science Manager at Amazon rates 98 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Applied Science Manager is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on November 2, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGFine-tuningNLP

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What NLP problem have you worked on, and how did you measure whether it actually worked?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, and NLP. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker