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Modelling Resident

Adaption United KingdomEst. Est. GBP 75,000–105,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

Key requirements

  • Python
  • Deep Learning
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. We bring together exceptional people with the drive and creativity to push the boundaries of continual adaptation. We’re looking for builders and creative thinkers ready to shape the next era of intelligence. Our team is small, talent-dense, and moving quickly, with a culture rooted in accountability, initiative and shared success. We look for people who care deeply, ship fast, and are eager to make a dent in the world. We operate with low egos, high velocity, and extreme ownership to build technology that expands access and benefits the many, not the few. How We Work Impact over activity: We are building a generational company. We value people who execute on ideas rather than comment from the sidelines. We believe our competitive edge lies in caring about excellence across the entire lifecycle - from research to product. No task is beneath anyone: no one is too senior to test the build, clean the data, or unblock a teammate. Vulnerable, low-ego collaboration: We believe exceptional work comes from people who challenge, support and push one another to think bigger. Rapid iteration requires stepping into discomfort. We encourage bold, half-baked, and unorthodox ideas. When we disagree, we share feedback directly, never through side channels. Celebrate decisively: Extraordinary effort should be deeply memorable. We celebrate milestones generously and publicly - via spot bonuses, team dinners, spontaneous gifts, and company-wide recognition - to fuel each other for the next sprint. The Role Our vision is AI systems that are flexible, adaptable, 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. 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. What You'll Do 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.   Skills You'll Bring We look beyond traditional markers of experience. What matters most to us is what you’ve built and the impact you’ve had. We value demonstrable output, curiosity and alignment with our core values: 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. We value impact over credent

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