Lexsi Labs Internship | AI Research Intern

Job Description

Lexsi Labs is hiring AI Research Interns to work on cutting-edge research in AI Alignment, Interpretability, Foundation Models, Reinforcement Learning, and AI Safety. This is an incredible opportunity for students and aspiring AI researchers to contribute to frontier AI research while collaborating with world-class researchers and engineers.

🏢 Company: Lexsi Labs
💼 Position: AI Research Intern
📍 Location: Bangalore, India (Remote)
🏢 Job Type: Full-Time Internship (6 Months)
📅 Start Date: Rolling Applications
🎯 Potential for Full-Time Conversion

Roles & Responsibilities

✅ AI Alignment & Safe AI Systems
✅ Explainable AI (XAI) & Model Interpretability
✅ Mechanistic Interpretability Research
✅ Uncertainty Estimation & Risk Assessment
✅ Tabular Foundation Models (TFMs)
✅ Reinforcement Learning & RL Fine-Tuning
✅ Open-Source AI Library Development
✅ Research Publications & Experimentation

Qualifications & Eligibility

🎓 Strong understanding of Machine Learning and Deep Learning concepts
🎓 Hands-on experience with PyTorch and AI model development
🎓 Knowledge of Large Language Models and Transformer architectures
🎓 Experience with research projects, AI tools, or open-source contributions is a plus
🎓 Passion for AI Research, Innovation, and Frontier Technologies

Skills Required

⭐ Strong Python Programming
⭐ Machine Learning & Deep Learning Fundamentals
⭐ PyTorch Framework
⭐ Transformer Architectures (GPT, BERT, LLaMA, T5, MoE, Mamba)
⭐ Git & Version Control
⭐ Research & Problem-Solving Skills
⭐ Software Development Best Practices
⭐ Strong Communication & Collaboration Skills

🔹 Preferred Skills

⭐ Explainable AI (SHAP, LIME, Grad-CAM, LRP, Integrated Gradients)
⭐ Mechanistic Interpretability Techniques
⭐ Bayesian Methods & Uncertainty Estimation
⭐ Quantization & Model Pruning
⭐ RLHF & LLM Alignment
⭐ LoRA, Adapters & Fine-Tuning Techniques
⭐ Tabular Foundation Models (Orion, TabPFN, TabICL)
⭐ Reinforcement Learning Algorithms