Senior Applied Scientist, Amazon Buyer Risk Prevention (Fraud and Risk ML), Bengaluru

Application ends: October 13, 2026
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Job Description

Amazon’s Buyer Risk Prevention machine learning team in Bengaluru is hiring a senior applied scientist in fraud and risk machine learning to set the scientific direction of systems that protect millions of transactions every day. The role leads large fraud and risk modelling efforts and brings in generative AI and LLMs to build the next generation of risk prevention.

At a glance

  • Role: Senior Applied Scientist, Buyer Risk Prevention (BRP)
  • Location: Bengaluru, Karnataka, India
  • Posted: 8 September 2026
  • Experience: 3+ years building ML models for business use; PhD, or a master’s degree plus 5+ years of applied research
  • Job ID: 10531907
  • Apply: open until filled (re-checked 13 October 2026)

About the fraud and risk machine learning role

  • Lead the end-to-end science strategy for large-scale fraud and risk modelling
  • Define problems, success metrics and long-term roadmaps with business and engineering leaders
  • Design and deploy scalable ML systems that run in real time
  • Use deep learning and generative AI or LLMs to automate and transform risk evaluation
  • Set best practice for experimentation, validation, monitoring and model lifecycle
  • Mentor junior scientists and explain results to senior leaders

What Amazon is looking for

  • 3+ years building ML models for business applications
  • A PhD, or a master’s degree and 5+ years of applied research
  • Programming in Java, C++, Python or similar
  • Experience with deep learning and machine learning

Nice to have

  • Modelling tools such as scikit-learn, Spark MLlib, TensorFlow, NumPy or SciPy
  • Large distributed systems such as Hadoop or Spark

Pay and location

Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.

How to apply

Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.

See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.

Hiring institution: Amazon

Official advertisement: www.amazon.jobs

How to prepare for this application

  • Fraud-specific ML: revise class imbalance, cost-sensitive learning, graph features and delayed labels.
  • Real-time systems: be ready to design a scoring service with a latency budget and fallbacks.
  • GenAI in risk: think about where LLMs genuinely help, for example investigator summaries or feature extraction from text.
  • Senior scope: prepare examples of setting a multi-quarter science roadmap.
  • Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.

About Amazon in India

Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai and Gurugram. Applied scientists work on machine learning problems across retail, logistics, advertising, devices and cloud services.

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