Applied Scientist

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

Level's read on this job

On Level's scale, this applied scientist role is Builds AI ●●●●: the job is building AI systems.
The posting mentions RAG, fine tuning and computer vision among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted in the last few days.

AI in this role

ragfine-tuningcomputer-visionnlp

Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine-tuning.

Key job responsibilities
- Build the multi-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement.
- Build multimodal models of book attributes, and use them for similar-book search across languages, catalog quality, and category and keyword recommendations.
- Post-train open models on KDP expertise (for example with supervised fine-tuning and reinforcement learning), and deploy them where they beat general-purpose models on accuracy, cost, or speed.
- Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations.

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. You will work closely with engineering, product, and policy partners. 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

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language

Preferred qualifications

- Experience building LLM-based agents or multimodal generative AI workflows, including tool use, retrieval-augmented generation, or evaluation
- Experience fine-tuning or post-training models, including with reinforcement learning
- Experience with large-scale retrieval, embeddings, or ranking, including text and image embeddings
- Experience with multilingual natural language processing or computer vision
- Experience with SQL and large-scale data processing
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

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 Scientist at Amazon rates 99 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 Scientist 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 October 30, 2026.
Seniority: mid.
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-tuningComputer visionNLP

Also common in applied scientist jobs at this level

Deep learning TensorFlow Spark AWS scikit-learn PyTorch

Pay

Typical applied scientist job: $167k

This posting doesn't list pay. Use the typical applied scientist figure when pay comes up. See applied scientist jobs

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?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
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?

Adapt your resume

List these exact terms on your resume: RAG, Fine-tuning, Computer vision, 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.

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