Posted 5 months ago
Modelling Resident
@ adaption
Toronto, Ontario
Overview
adaption is hiring a contract modelling resident for an 8-month residency embedded in its frontier lab. The resident works on production and research projects under the modelling team, building adaptive algorithms that learn in real time and optimizing across software, hardware and algorithms.
Responsibilities:
- Build adaptive algorithms that learn continuously from product signal
- Co-design algorithms reacting in real time to feedback
- Collaborate across software, hardware and algorithmic domains for efficiency gains
- Explore new ways of capturing feedback to improve algorithms
Requirements summary:
- Degree or equivalent research/engineering experience in computer science
- Project touching model efficiency, synthetic data, interfaces, real-time alignment or algorithmic optimization
- Strong Python and deep learning framework experience (PyTorch, JAX, TensorFlow)
- Familiarity with RLHF and fine-tuning
- Strong communication and openness to feedback in a remote setting
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-06-11
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-19
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Work setting | Home, Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Computer science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
adaption
| Field | Value |
|---|---|
| Open jobs on Jobsy | 6 |
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.
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.
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