Member of Technical Staff (Imagine Model)

Join the Imagine Model Team as a Member of Technical Staff, where you will develop cutting-edge AI experiences that go beyond text. Your responsibilities will include data curation, modeling, training, inference serving, and product integration. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences. Additionally, you will improve data quality, design evaluation frameworks, implement efficient algorithms, develop scalable data collection and processing pipelines, and integrate AI solutions into production.

• Develop cutting-edge AI experiences beyond text, focusing on high-fidelity understanding and generation across image and video modalities.
• Collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences, covering both pretraining and post-training phases.
• Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, and controllable/long-horizon synthesis.
• Experience in data-driven experiment designs, systematic analysis, and iterative model debugging
• Ability to deliver optimal end-to-end user experiences
• Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication
• Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling
• Experience developing or working with large-scale distributed machine learning systems
• Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems
• Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video)
• Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks
• Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains)