What you will be doing
We are looking for a Data Scientist who can operate at the intersection of classical machine learning , large-scale recommendation systems , and up-to-date agentic AI systems.
You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
Your responsibilities will include:
Classical ML & Recommendation Systems
Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
Monitor ML model performance using statistical techniques; identify drifts, failure modes,



and improvement opportunities.
Cross-functional impact
Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and Gen AI-driven features into Glance’s consumer experiences.
Contribute to Glance’s ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
You should have experience with:
Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
Classical ML and d

📌 Machine learning engineer iii (Bengaluru)
🏢 Glance
📍 Bengaluru