We are looking for talented ML/Resaerch Eng people who are as excited to work closely with Research Scientist on Deep Learning experimentations as they are on the idea of scaling our MLops Infrastructure.

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

Will be communicated soon , potentially with different job descriptions for different roles