Job Description
Amazon’s Grocery, Retail and In-Store Experience (GRAISE) team is hiring an Applied Scientist II in Bengaluru to build computer vision and machine learning models for Amazon grocery stores. Problems include product identification, shelf perception and in-store scene understanding, with models taken from prototype to production under latency and reliability limits.
At a glance
- Role: Applied Scientist II, GRAISE
- Posted: 13 July 2026
- Focus: Computer vision, product recognition, shelf perception, multimodal learning
- Location: Bengaluru, Karnataka, India
- Job ID: 10473135
- Apply: open until filled (re-checked 13 October 2026)
About the grocery computer vision role
- Design, train and evaluate CV and ML models for product identification, shelf perception and scene understanding
- Analyse data to understand image variability, catalogue gaps and label noise
- Own models from experiment to deployment, with engineers, meeting latency and throughput requirements
- Design offline and online evaluation, and improve data pipelines and annotation, including active learning
- Follow research in computer vision, multimodal and representation learning, and communicate results clearly
What Amazon is looking for
- At least 3 years of building models for business applications
- A PhD or a master’s degree
- Patents or publications at top peer-reviewed conferences or journals
- Programming in Java, C++, Python or a related language
Nice to have
- At least 2 years building and deploying CV models (detection, classification, segmentation or visual search) on real-world data
- Taking a model from prototype to production, including latency optimisation
- Working with noisy or sparse data using semi-supervised learning, active learning, weak supervision or synthetic data
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
- Real-world CV: bring an example where you handled messy images, not just benchmarks.
- Label efficiency: revise active learning and weak supervision.
- Deployment: be ready to discuss model size, latency and edge versus cloud trade-offs.
- Metrics: think about how model accuracy links to the shopping experience.
- 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.