adaption · United Kingdom; New York; Mexico; France; San Francisco; India; Ireland; Germany; Netherlands; United States; Brazil; Argentina; Canada
Eight-month residency embedding the hire in production and research projects on a frontier modelling team, mentored directly by the team. Work covers adaptive algorithms that learn in real time, cross-stack efficiency across software, hardware and algorithms, and using product signal and feedback. Qualifications include Python and PyTorch, JAX or TensorFlow, and familiarity with RLHF and fine-tuning.
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.
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.
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.