Louis Béthune
Research Engineer · Apple Machine Learning Research
Hi, I’m Louis. I’m a research engineer at Apple Machine Learning Research in Paris, where I train large generative models and build the codebase that runs them.
I have always loved working at the intersection of engineering, mathematical modeling, physics, and neuroscience. Deep-learning research is a nice place where science and multi-disciplinary engineering collide.
Nowadays, my attention goes to three things.
- Generative models. I work on multimodal generation across text, images, and audio, especially with masked discrete models.
- ML systems. I like large-model training, distributed computation, and I’ve kept a love of low-level programming from my early days.
- Biologically inspired methods. I am curious about predictive coding, back-propagation-free training, massively distributed asynchronous systems, and the expressiveness of dynamical systems.
Want to work together?
If you’re a student who is hands-on and wants to get your hands dirty on large-scale machine learning, my team at Apple MLR in Paris takes interns. Send a short note and your CV to mlr_paris_internships@group.apple.com. We typically target long duration (5 months and more) duration, but exceptions can be granted for well-rounded projects.
If you’re looking for a full-time role, I’d still love to hear from you. Reach out by email or on LinkedIn.
I can be slow with emails. Don’t hesitate to send a reminder, I prefer this over having your message buried.
News
- August 2026: submissions to DiffuLM workshop are open
- July 2026: “Learning unmasking policies for diffusion language models” received an oral
- July 2026: 3 papers accepted at ICML 2026