Design and implement AI/ML-driven solutions throughout the entire model development life cycle.
Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks.
Deliver robust, tested, and high-performance code in an agile environment.
Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models.

Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions.
Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).
Familiarity with machine learning literature and state-of-the-art approaches.
Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python.
Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting.
Fluency in English.

AIML Engineer, AI for Science

Key skills