AmazonApplied Scientist, Minerva
Amazon is hiring an Applied Scientist, Minerva for a remote role open to applicants in India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this applied scientist role Builds AI ●●●●: the job is building AI systems.
- This is listed as a remote role.
- The posting mentions Python, Java and C among its tools and skills.
- Amazon has 21,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Design, train, and evaluate production risk and fraud detection models for Amazon Books content and Kindle Unlimited.
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 Amazon's 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.
Basic qualifications
- 3+ years of building models for business application experience
- PhD, or a Master's degree and experience in CS, CE, ML or related field research
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience programming in Java, C++, Python or related language
Preferred qualifications
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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 large-scale data processing (for example Spark or SQL on large datasets)
- 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, Minerva at Amazon rates 90 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in applied scientist jobs at this level
Pay
- Typical applied scientist job
- $172k
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
- What's a project where you used Python hands-on?
- Walk me through how you've used Java in your day-to-day work.
- What are the limits of C that you've run into, and how did you work around them?
- 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: Python, Java, and C. 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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