Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 15, 2026.
Join our team as a Research Engineer, where you'll be at the forefront of building foundational models for scientific signals, starting with the brain. You'll be responsible for scaling pre-training, fine-tuning pretrained models, engineering multimodal data pipelines, and upholding scientific rigor and software standards. The ideal candidate will have 3-7 years of experience in applied research or R&D, mastery of PyTorch, and a strong background in data engineering.
Missions
- Implement and supervise large-scale pre-training runs on cutting-edge architectures, ensuring convergence and performance across distributed resources.
- Build robust pipelines to aggregate, align, and clean heterogeneous datasets, tackling the complexity of signal normalization and data versioning.
- Establish internal leaderboards and data tests to validate progress against the state of the art, and write production-ready research code.
Profil recherché
### Requirements* 3-7 years of experience in applied research or R&D.
* Distributed Training: Proven track record with large-scale model training.
* PyTorch Mastery: Deep knowledge of internals (memory, kernels, attention mechanisms).
* Data Engineering: Robust pipelines, versioning, and data quality.
* Scientific Rigor: Experience in research environments with high software standards.
* Fluent English (the team speaks English in the day-to-day)
### Bonus Skills
* Multimodal Data: EEG, fMRI, time-series, or sensor signals.
* Low-Level Optimisation: FlashAttention, CUDA kernels, or custom hardware.
* Cloud Infrastructure: Scaleway or similar GPU cloud environments.
* Research Publications: NeurIPS, ICML, ICLR, or equivalent.
* Data-Centric AI: Curation, alignment, and cleaning of heterogeneous datasets.
### 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.

