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Build an AI-Driven Employee Feedback Platform (MIT x Sona8)
IDP: AI Engineering
Join the intersection of state-of-the-art research and real-world startup application. In collaboration with researchers at MIT and the startup Sona8, we are building a voice-based Conversational AI platform that reimagines organizational feedback.
Track 1: AI Engineering (NLP & Deep Learning)
Focus: Architecting the pipeline that translates raw voice transcripts into structured, actionable insights.
- Design and evaluate an advanced NLP pipeline utilizing deep learning to synthesize organizational insights from interviews.
- Collaborate to implement the final pipeline seamlessly into the live platform's backend.
Track 2: Full Stack Engineering (Platform & Architecture)
Focus: Improve the scalable web product and user interfaces that enable companies to deploy our AI tools.
- Architect full-stack features using Next.js, integrating smoothly with Supabase and hosting on Vercel.
Requirements
- Excellent coding skills (Python, TypeScript). AI coding tools (Cursor, Copilot) are empowered, but strong fundamentals are required.
- Strong foundation in NLP and Deep Learning. Excellent fundamentals in machine learning and Python are a prerequisite.
If interested, send an email to thilo.tamme@tum.de and include your CV, grade report, and some quick(!) words on what motivates you in the email's content. Please do not use AI for this mail.
Thilo Tamme — thilo.tamme@tum.de — PhD Candidate Anton Hantel — hantel@mit.edu
Chair for Strategy and Organization, TUM School of Management, Technical University of Munich