Job Description
📋 Description Design and build end-to-end agentic systems for creative tasks Develop novel approaches for training and adapting large language models powering agents Design objectives, datasets, and fine-tuning strategies to improve agent behavior Explore multimodal reasoning and structured generation for creative control Run systematic experiments to evaluate and improve agent performance in real-world tasks Design evaluation frameworks for agentic workflows in video analysis and editing 🎯 Requirements BS/MS/PhD in CS, ML, or related field Strong track record building production ML systems or agentic pipelines Deep understanding of transformers and modern LLM techniques Experience with fine-tuning, alignment, or post-training methods Comfort owning the full stack, from model-level experiments to deployed agent systems Strong experimental rigor and taste for what makes agents actually work in practice 🎁 Benefits Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend when working late Grubhub subscription
