Modelling Resident
At adaption · United Kingdom; New York; Mexico; France; San Francisco; India; Ireland; Germany; Netherlands; United States; Brazil; Ar…
- Contract
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours Radar emails you new jobs open to you within hours of us finding them, before most people see them.
Where you can work from
Open to Argentina, Brazil, Canada and 8 more
“United Kingdom”
From the location.
“New York”
From the location.
“Mexico”
From the location.
“France”
From the location.
“San Francisco”
From the location.
“India”
From the location.
Report a mistake
- Posted
- 12 June 2026
- First seen by us
- 4 November 2026
- Last checked
- 20 hours ago
Job description
From adaption’s job post, as they wrote it.
The Role
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.
Read the full description
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
* You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end.
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. 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.
Modelling Residentadaption
Apply on adaption (opens in a new tab)Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.
