- Bangalore, Karnataka, India
- Staff
- 6+ years
Design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences, blending deep ML craftsmanship with autonomous agentic AI systems.
Responsibilities
- Design and develop large-scale recommendation systems using advanced ML, statistical modeling, 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
Requirements
- Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields
- PhD is a plus
- Nice to have: Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems
- Nice to have: Experience in large-scale recommendation systems or personalization
- Nice to have: Experience with reinforcement learning, contextual bandits