Harry Crick


Harry Crick is a Principal Consultant at DeepRec.ai, specialising in video generation, diffusion models, and world models within the US market. He works closely with ambitious startups, VCs, and forward-thinking enterprises to identify and secure elite AI talent that can turn cutting-edge research into production reality.

With a sharp focus on the intersection of computer vision, generative AI, and simulation, Harry helps teams rapidly scale by bringing in the exact specialists they need - from foundational model researchers to applied video and world-model engineers. His clients value his ability to deeply understand both the technical requirements and the strategic importance of these hires.

Before entering the recruitment field, Harry spent four years working as a currency trader, where he managed capital for multiple online property firms and individual investors.

Outside of work, Harry is a passionate follower of space exploration, closely tracking the progress of companies like SpaceX and Blue Origin. He also enjoys playing golf, hosting game nights, and travelling to new countries (Currently on 25+).

Connect with Harry to explore how he can help bring your video generation, world model, or broader generative AI vision to life.

Jobs from Harry Crick

San Francisco, California, United States
AI Researcher - Video Generation
AI Researcher – Video World Generation San Francisco (Bay Area)Help build the next generation of AI video systems that can create rich, interactive worlds from text or images.What you’ll work on:Foundational diffusion models and world models for high-quality video generationReal-time AI pipelines that turn ideas into consistent, dynamic video scenesMulti-agent systems and orchestration for intelligent video creationRL techniques for more adaptive and open-ended video generationRequired:Strong production experience with large multimodal or agentic AI systemsHands-on work with distributed training or large-scale vision/diffusion pipelinesBonus (big plus):Experience training or fine-tuning diffusion modelsBackground in world models, simulation, robotics, or multi-agent systemsFamiliarity with game engines (Unity/Unreal) as test environments
Harry CrickHarry Crick