Real-Time Adaptive ML Modeller (Residency)

adaption; Paris; On-site; EUR 45,000 - 70,000; Full time

Job summary

adaption in Paris invites you to a modelling residency embedded in a frontier lab. You’ll be mentored by our modelling team on production and research projects, learning to build efficient, adaptive algorithms with real-time feedback.

Over eight months, you’ll gain a track record and hands-on experiences across software, hardware, and ML, shaping the next era of intelligent systems and interfaces.

Qualifications

• A degree or equivalent research/engineering experience in a computer science field.
• Interest with 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.

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

Python

Deep learning

Systems thinking

PyTorch

JAX

TensorFlow

RLHF

Communication

Remote collaboration

Adaptability

Education

Degree in Computer Science

Job description

adaption in Paris invites you to a modelling residency embedded in a frontier lab. You’ll be mentored by our modelling team on production and research projects, learning to build efficient, adaptive algorithms with real-time feedback.

Over eight months, you’ll gain a track record and hands-on experiences across software, hardware, and ML, shaping the next era of intelligent systems and interfaces.