Applied Scientist, Minerva

We are looking for Applied Scientists to advance how Minerva detects and responds to risk across KDP and Kindle Unlimited building new models and raising the bar on the ones in production. You will own a problem end to end from framing and modeling through evaluation and production launch working with scientists and engineers in Bengaluru and the US.

Key job responsibilities
- Monitor production risk models and push their quality higher: track performance and drift improve how performance is measured and lead the deep-dive science that turns model behavior into better detection.

- Design train and evaluate improved detection models and take them to production with engineering partners.

- Build datasets labels evaluation sets and metrics and strengthen them as abuse patterns change.

- Write clear readouts with recommendations for scientists engineers and policy partners.


About the team
Kindle Direct Publishing (KDP) has empowered a new wave of self-motivated creators tearing down barriers that once blocked writers from reaching readers. Minerva is the science and analytics organization for Amazons Books business. We build systems for content understanding author marketing and discovery fraud and abuse prevention and content risk and we optimize manufacturing fulfillment and quality for Print On Demand (POD). We have mature areas and green-field opportunities with engineering business intelligence and data engineering support across our areas. We are now building science teams in Bengaluru that work closely with our scientists in the US. Risk Science a team within Minerva keeps fraud abuse copyright infringement and harmful content out of the Books catalog and programs such as Kindle Unlimited using text image and behavioral data.

- 3 years of building models for business application experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Masters degree or above in computer science computer engineering or related field

- Experience with fraud detection abuse prevention trust and safety or content moderation
- Experience with model monitoring data drift detection or calibration
- Experience with graph-based ML behavioral modeling or anomaly detection
- Experience with LLMs fine-tuning embeddings NLP computer vision or multimodal models
- Experience with large-scale data processing (for example Spark or SQL on large datasets)
- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

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