Modelling Resident

Job description

## The Role A modelling residency puts you in the center of a frontier lab. You'll be embedded in real work: placed on key production and research projects and mentored directly by our modelling team. We're building our frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design. By the end of this 8-month residency, our hope is that you leave with a track record you're proud to put on your resume and experiences that meaningfully upskill you. ## Responsibilities - **Innovation:** Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better - **Cross-Stack Optimization:** Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains - **Measure What Matters:** We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work. ## Qualifications We value impact over credentials. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to check every box - but you do need to be adaptable. - 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 optimization - Systems thinking — the ability to understand and optimize across the full ML stack - Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow) - Familiarity with model optimization techniques such as RLHF and fine-tuning - Strong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedback - You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end. ## **About Us** Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient 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 believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.