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Software Development Engineer, Buyer Fraud Prevention

Amazon is hiring a Software Development Engineer, Buyer Fraud Prevention in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
  • The posting mentions Machine learning, Big Data and software development among its tools and skills.
  • Level classes it as a mid-level role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build scalable distributed systems and machine learning models to prevent ecommerce fraud and abuse. Framework: Level 3 (AI/ML models as part of core product/system capability).

Machine learningBig Data
software-developmentdistributed-systemsdata-mining
Want to join a team that saves tens of millions of dollars per year for Amazon, and uses technology, including machine learning and statistical modeling techniques, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity within the Abuse Prevention team to architect and build the next generation of engineering systems to address abuse of Amazon's customer-first policies that will impact multiple Amazon businesses across the globe.

About the Amazon Buyer Risk Prevention Team:

The BRP (Buyer Risk Prevention) team has a worldwide reputation as the #1 in eCommerce Fraud and Abuse Prevention. Trust and Safety of our customers comes first. Always! We thrive on maintaining the highest bar of customer experience while we deliver on those tenets. The Buyer Abuse Engineering Team, a group within BRP, strives to protect Amazon businesses exposed to customer abuse while maintaining the highest level of customer experience for our good customers. This means building highly sophisticated, data-centric systems that can detect abusive patterns across millions of transactions. We build highly scalable, flexible and distributed systems that utilize the power of data at every step - compute predictive variables, build models using machine learning algorithms and plug into different pipelines to prevent abusive transactions from taking place. As Amazon businesses grow and abusers morph to find new ways to take undue advantage of our liberal policies, our engineers and data scientists are constantly innovating to stay ahead of the game and protect Amazon and our customers.


Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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.

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How we rate this

Software Development Engineer, Buyer Fraud Prevention at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Software DevelopmentDistributed SystemsData MiningMachine learningBig Data

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$167k

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

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where data mining was part of your work. What did you do?
  4. What's a project where you used Machine learning hands-on?
  5. Walk me through how you've used Big Data in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Distributed Systems, Data Mining, Machine learning, and Big Data. 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.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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