Experimentation workflows jobs

Staff Applied Scientist - I

Glance · Posted Jan 29, 2026

Bangalore, Karnataka, India
Staff
6+ years

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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

Skills

Large-scale ML and recommendation systems

Agentic AI Engineer

Agentic AI Engineer

Compensation

Responsibilities

Requirements

Skills

Benefits

Staff Applied Scientist - I

Responsibilities

Requirements

Skills