adaption - Modelling Resident (8-Month Contract)
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Requirements
• 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.
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.
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