Job Description
Amazon Ads’ Traffic Quality team is hiring a senior applied scientist in Bengaluru. The team detects sophisticated invalid traffic in programmatic advertising, such as non-human traffic, bot networks and fraudulent engagement, working on billions of ad events a day under strict latency limits. Its research uses deep learning and generative modelling, user-behaviour and multimodal representation learning, anomaly detection, time-series analysis and learning from sparse labels.
At a glance
- Role: Senior Applied Scientist, Traffic Quality
- Posted: 30 July 2026
- Focus: Bot and fraud detection, anomaly detection, representation learning
- Location: Bengaluru, Karnataka, India
- Job ID: 10488669
- Apply: open until filled (re-checked 13 October 2026)
About the traffic quality science role
- Define the long-term science vision for traffic quality, based on advertiser and publisher needs
- Solve strategically important problems independently, with robust and scalable solutions
- Develop detection methods that stay ahead of adversarial actors
- Balance precision and recall on very large event streams under strict latency constraints
- Use deep learning, generative models, anomaly detection, time-series analysis and sparse-label learning
What Amazon is looking for
- At least 3 years of building machine learning models for business applications
- A PhD, or a master’s degree and at least 6 years of applied research experience
- Programming in Java, C++, Python or a related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Modelling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy and SciPy
- Large-scale distributed systems such as Hadoop and 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.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Adversarial ML: think about how fraudsters adapt, and how you keep a detector robust over time.
- Few labels: revise semi-supervised learning, positive-unlabelled learning and anomaly detection.
- Scale and latency: be ready to discuss streaming features and model serving at billions of events a day.
- Business framing: prepare to explain the cost of false positives to advertisers and publishers.
- 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, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.