[Remote] Modelling Resident (8-Month Contract)
Note: The job is a remote job and is open to candidates in USA. Adaption is a company focused on building efficient intelligence that evolves in real-time. They are seeking a Modelling Resident to work on production and research projects, building adaptive algorithms and collaborating across software, hardware, and algorithmic domains to drive efficiency gains.
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
Skills
- 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
Company Overview