LLM Post-training Engineer Intern (Research & Product) - 2027 Summer
Core
Intern role supporting the development and optimization of post-training strategies for Large Language Models (LLMs) to power global multimedia products.
Role type
Research & Product Intern (LLM Post-training)
Builds
Production-ready AI applications for video understanding, translation, and content classification
Domain
AI / Machine Learning / Multimedia
Deliverable
production ML models
Required skills
Python, PyTorch or JAX, Transformer architectures, LLM training principles, dataset analysis
Preferred skills
LLM fine-tuning, RLHF, synthetic data generation, distributed training tools (DeepSpeed, Megatron-LM), multimodal AI
Technologies
PyTorch, JAX, DeepSpeed, Megatron-LM
Responsibilities
Support post-training strategies (instruction tuning, SFT/DPO/PPO), build evaluation pipelines, implement reward modeling methodologies, collaborate on bridging research to production, analyze large-scale datasets
Seniority
Intern