Research Scientist — Frontier Physical AI

Join our team as a Research Scientist in Frontier Physical AI, where you'll tackle complex scientific data and representation learning. You'll work on building foundation models for scientific signals, starting with the brain and extending to other complex domains. Your role will involve architecture-level thinking, understanding failures, developing pre-training strategies, and bridging gaps between signals. You'll have end-to-end ownership of experiments and contribute to engineering. A PhD in a related field and strong proficiency in PyTorch are required.

• Concevoir et développer des méthodes adaptées aux signaux physiques, en particulier pour les petits échantillons et les structures irrégulières.
• Posséder des expériences de bout en bout, de l'hypothèse au déploiement, et contribuer à l'ingénierie des pipelines et de l'infrastructure.
• Travailler en collaboration avec une petite équipe pour explorer des problèmes scientifiques complexes et trouver des solutions innovantes.

### **Requirements**

* **Education:** PhD (preferred) in Machine Learning, Deep Learning, or a closely related quantitative field.

* **Technical Expertise:** Strong proficiency in PyTorch and experience running large models on GPU infrastructure

* **Data Experience:** Hands-on experience handling challenging/complex data, including irregular time series, scientific signals, and geometric or physical structures.

* **The "Data-First" Mindset:** A practical approach to research where you prioritise analysing raw signals and data quality over just monitoring loss curves.

* **Navigating Ambiguity:** Ability to thrive in an environment with open-ended problems and the communication skills to make complex research approachable for non-scientific teams.

* **Fluent English** (the team speaks English in the day-to-day)

### **Bonus Skills**

* **Specialised Deep Learning:** Experience with multimodal alignment or large-scale pre-training and foundation models.

* **Advanced Domains:** Specific knowledge in geometric deep learning or physical signal processing.

* **Academic Track Record:** A history of publications in top-tier venues such as NeurIPS, ICML, or equivalent conferences.

* **Unconventional Backgrounds:** Experience working with "exotic" signals or unique data systems that demonstrate deep thinking and adaptability.

### Beyond Technical Skills:

While technical excellence is critical, we place equal importance on how we work together. We believe the best teams are built on:

* Integrity & Respect

* We are striving for honesty, kindness, and fairness. We value people who treat others with dignity and foster an environment where everyone feels heard.

* Open Communication & Humility

* Great ideas come from collaboration. We look for teammates who listen actively, communicate clearly, and approach challenges with self-awareness and humility.

* Psychological Safety & Camaraderie

* We strive to create a space where people feel safe to take risks, ask questions, and grow.