We’re hiring for an Applied Scientist role at Glance.
If you’re someone who enjoys solving large-scale personalization and recommendation problems, building intelligent ML systems that operate in production, and experimenting with the next generation of AI-powered experiences, we’d love to speak with you.
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.
Agentic Systems & Next-Gen AI
Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modelling.
Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or conte

📌 Staff applied scientist (Bengaluru)
🏢 Glance
📍 Bengaluru