LLM Post-training Engineer Graduate (Research & Product) - 2027 Start
Core
Developing and optimizing post-training strategies for Large Language Models (LLMs) to power global multimedia products.
Role type
Graduate LLM Post-training Engineer (Research & Product)
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
Responsibilities
Support development of 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
Graduate (2027 Start)
