Modelling Resident (8-Month Contract)

adaption • San Francisco, CA

6d • Remote

About The Position

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 the 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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
• Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains
• 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.

What This Job Offers

• Career Level: Entry Level
• Education Level: Associate degree