Intern - Generative AI model personalization and efficient fine-tuning
Core
Developing new theories and algorithms for Generative AI models, specifically focusing on personalization, efficient fine-tuning, and deployment on edge devices.
Role type
Research Intern (Generative AI)
Builds
On-device learning algorithms and generative foundation models for mobile applications.
Domain
Artificial Intelligence / Machine Learning / Edge Computing
Deliverable
research
Required skills
Generative AI (LLM, LVM, LMM, VLA), Personalization techniques, Efficient fine-tuning (LoRA, adapters), Multi-modal generation, Diffusion/transformer models, Knowledge distillation, Quantization, Reinforcement Learning (RLHF), Unsupervised/Self-supervised learning, Meta-Learning
Preferred skills
Extensive experience with generative AI architectures, Parameter-efficient fine-tuning methods, Model optimization for edge deployment, Publications at leading AI conferences
Technologies
Python, PyTorch, TensorFlow
Responsibilities
Develop new theories and algorithms in Generative AI; Implement ML algorithms using deep learning frameworks; Publish research results in top-tier conferences and journals.
Seniority
Intern
