Principal AI Research Leader

- Define the multi-year research and engineering roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges - Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch - Monitor and translate bleeding-edge academic research and industry trends into rapid prototypes suitable for mission-critical production deployment - Establish and enforce industry-leading best practices for MLOps, ensuring automation, reproducibility, version control, and continuous integration/continuous delivery (CI/CD) for all models - Personally review and approve the technical architecture for all deployed AI systems, ensuring they meet strict criteria for scalability, low latency, and fault tolerance - Drive research into optimizing computational costs for large models, including strategies for model compression, quantization, and efficient hardware utilization - Recruit, mentor, and manage a high-performing team of Applied AI Scientists, Machine Learning Engineers, and Researchers - Foster a technically demanding and research-driven culture, encouraging publication, patent filing, and open-source contributions - Ensure all core AI codebases adhere to the highest standards of quality, documentation, and maintainability