Applied Scientist III - Recommendation Systems
Recruiter Fit Breakdown & Candid Summary
This Applied Scientist III role at Glance focuses on building large-scale recommendation systems, classical machine learning, and modern agentic AI applications.
The ideal candidate brings strong expertise in deep learning, ranking algorithms, LLMs, and autonomous agent systems operating at a massive global scale.
Engineers without solid production machine learning background or experience handling high-volume distributed data systems should not apply.
The position is structured at a senior level (Level 3 / Senior) requiring robust hands-on modeling and system ownership.
Role Responsibilities
- 1Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
- 2Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
- 3Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
- 4Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
- 5Monitor ML model performance using statistical techniques to identify drifts, failure modes, and improvement opportunities.
- 6Build and experiment with agentic AI systems that autonomously observe model performance, tune hyperparameters, or orchestrate ML workflows.
Skills Matrix
Must-Have Skills
Nice-to-Have Skills
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