Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)
Skills
About the role
This is an applied scientist role on Amazon's GRAISE team in Bengaluru, focused on computer vision for physical grocery stores. It suits a scientist with a PhD or master's who wants to take models from research prototype to production at scale. The team builds machine learning and computer vision systems for product identification, shelf perception and in-store scene understanding. Models built here run in Amazon's grocery stores and affect the in-person shopping experience for millions of customers.
What you’ll do
- Design, train and evaluate computer vision and ML models for grocery-domain problems
- Conduct exploratory data analysis to characterize image variability, catalog gaps and label noise
- Own the model development lifecycle from experimentation through production deployment
- Design offline and online evaluation frameworks and diagnose failure modes
- Build data pipelines and annotation workflows, including active learning strategies
- Communicate technical trade-offs and results to engineering, product and business stakeholders
What they’re looking for
- 3+ years of experience building models for business applications
- PhD or master's degree
- Experience with patents or publications at top-tier peer-reviewed venues
- Programming experience in Java, C++, Python or a related language
Nice to have
- 2+ years building and deploying computer vision models (detection, classification, segmentation, visual search) on real-world data
- Experience taking a model from prototype to production including latency optimization
- Experience with noisy or sparse training data, semi-supervised or active learning, weak supervision or synthetic data
- Experience building annotation pipelines and human-in-the-loop workflows
- Track record documenting experiments and communicating to cross-functional partners
Questions about this role
Is this role remote?
No, it is on-site in Bengaluru.
How many years of experience do I need?
3+ years building models for business applications, plus a PhD or master's degree.
Do I need a degree?
Yes, a PhD or master's degree is required.
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