Job summary: 
We are looking for Research Engineers who will work with large scale   datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling.

Responsibilities

• Design and implement advanced ML architectures

• Develop robust model evaluation pipelines.

• Optimize model architectures for performance and reliability.

• Drive best practices in code quality, reproducibility, and collaboration.

• Build and maintain large-scale ML systems that process biomolecule datasets.

• Work with domain specialists to incorporate wet lab data and HPC simulations.

• Help to build and maintain large-scale generative models of molecular data.

Requirements

Qualifications

• Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus.

• Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures.

• Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation).

• Strong understanding of data modeling and pipeline optimization for large-scale experiments.

• Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly.