This is not a live role. We’re collecting spontaneous applications from engineers excited to work at the intersection of deep learning, tooling, and science.
Applications will be reviewed in September. Feel free to apply now—we’ll get back to you when we return from holidays.

We’re looking to meet ML engineers who love turning complex models into working systems and collaborating across research and product. You may have experience in:

• Training and evaluating deep learning models (vision, time series, neurodata, etc.)

• Building pipelines and infrastructure for experimentation and reproducibility

• Scaling ML workflows and managing real-world data

• Supporting research teams in fast-moving environments

You’re hands-on, collaborative, and excited by the idea of building the ML backbone of science-native AI systems.

• 🛠️ Strong ML engineering skills (Python, PyTorch, JAX, etc.)

• 📦 Experience working across diverse data types or scientific modalities

• 🔁 Good software habits: versioning, testing, clean code

• 🤝 Team-first mindset and ability to work across functions

• 🌱 Curiosity and desire to work in a science-driven environment

This is a pipeline role, not part of our 2025 hiring plan.
We’ll review applications starting in September. Exceptional profiles may lead to early conversation