? We're Hiring: Data Science & AI Engineering Intern | Remote | TalentSpotify
TalentSpotify is an AI-powered performance and talent intelligence platform helping organizations retain top performers through fair, data-backed performance management. We're the team behind TARA — an AI engine that analyzes completed employee-manager review transcripts to detect 14+ cognitive and behavioral bias patterns, giving leaders transparent, defensible reviews without replacing HR judgment.
We're Stanford Seed-backed, DPIIT-recognized, and building for India's SMB market.
We're looking for a Data Science & AI Engineering Intern to work directly on TARA's bias-detection pipeline and our broader AI stack.
What you'll do: ? Assist in data preprocessing, model experimentation, and evaluation for TARA ? Contribute to AI-driven product features and RAG pipelines ? Support research on bias detection and performance analytics ? Turn KPI and usage data into decision-systems teams actually trust ? Work with MongoDB, AWS, and contribute to React/Node components
What we're looking for:
? Strong Python — Pandas, NumPy, scikit-learn ? Hands-on experience with RAG and current AI tooling ? Working familiarity with MongoDB and AWS ? Basic working knowledge of React and Node ? Logical thinking and genuine curiosity for ambiguous problems ? Currently pursuing or recently completed a degree in CS/Engineering/IT or equivalent practical experience — strong project/GitHub portfolio counts ? Explicit written communication — remote, distributed team, async-first
Program structure: 9-month cohort in 3 equal phases — 3 months training, 3 months fixed responsibilities, 3 months higher-reward. Exceptional performers get promoted early. Stipend details shared at offer stage. Step away after training and you still walk away with a completion certificate.