What you will be doing
We are looking for a Applied Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern 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 GenAI-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 (cooperative filtering, ranking models, content-based approaches, embeddings).
Classical ML an

📌 Applied Scientist II- Recommendation Systems (Bengaluru)
🏢 Glance
📍 Bengaluru