Modelling Resident

The Role

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