Algorithm Researcher — Agentic Vision 108365
Core
Lead full-stack algorithm R&D for post-training of Vision-Language Models (VLMs), optimizing visual perception, reducing hallucinations, and enhancing user interaction scenarios.
Role type
Senior IC algorithm researcher (agentic vision & VLM post-training)
Builds
Vision foundation models with advanced visual perception, reasoning, and execution capabilities for real-world user scenarios
Domain
Artificial Intelligence / Large Language Models / Computer Vision
Deliverable
production ML models
Required skills
Transformer architecture, LLM alignment, RLHF, Reward Modeling, distributed training, deep learning frameworks (PyTorch, TensorFlow), large-scale model training (tens/hundreds of billions parameters), Python
Preferred skills
User profiling, recommendation systems, long-context memory optimization, publications at top-tier conferences (NeurIPS, ICLR, ICML, ACL, EMNLP), open-source contributions
Technologies
Megatron-LM, DeepSpeed, vLLM, HuggingFace
Responsibilities
Lead post-training R&D for Vision-Language Models; Optimize low-level visual perception and spatial awareness; Reduce hallucinations in multimodal large models; Align models for real-world user interaction scenarios
Seniority
Senior, hands-on IC
