Algorithm Researcher — Agentic Vision — FULL_TIME
Algorithm Researcher — Full Time
Key Responsibilities
- Lead full-stack algorithm research and development for post-training of Vision-Language Models.
- Explore supervised fine-tuning and reinforcement learning alignment algorithms like RLHF, PPO, and GRPO.
- Optimize low-level visual perception, fine-grained understanding, and spatial awareness in models.
- Develop visual agent solutions to improve execution capability and logical reasoning in real-world environments.
- Investigate and mitigate hallucinations in multimodal large models through detection pipelines and data cleaning.
- Enhance model performance for multi-turn image-text interactions by building effective feedback loops.
Job Requirements
- You possess a Master's degree or higher in Computer Science, Artificial Intelligence, or a related field.
- You have a deep understanding of Transformer architecture and extensive research experience in post-training domains such as LLM alignment or reward modeling.
- You demonstrate strong proficiency in Python and deep learning frameworks including PyTorch or TensorFlow.
- You bring proven experience with large-scale distributed training and inference frameworks like Megatron-LM, DeepSpeed, or vLLM.
- You have successfully trained or fine-tuned models at the tens-to-hundreds of billions parameter scale.
- You offer a track record of research excellence through publications at top-tier conferences or significant contributions to high-impact open-source projects.
Job Details
What's on Offer
- Join a team dedicated to large-scale infrastructure R&D and business innovation.
