Innovation: Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms betterCross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gainsMeasure What Matters: A degree or equivalent research/engineering experience in a computer science field.Genuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimizationSystems thinking - the ability to understand and optimize across the full ML stackStrong Python skills and experience with deep learning frameworks (PyTorch, JAX,



or TensorFlow)Familiarity with model optimization techniques such as RLHF and fine-tuningStrong communication and self-awareness - you know how to collaborate in a remote environment and you're open to feedbackYou care about technical excellence and last mile impact. Our mandate is to build effective intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone.

We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We're looking for builders and creative thinkers ready to shape the next era of intelligence. #

📌 Modelling Resident (Winnipeg)
🏢 Adaption
📍 Winnipeg