To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems.

In this role you will

• 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.

Qualifications & Skills:

• 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.

Benefits The position may also be eligible for a bonus and/or awards for exceptional performance, and other benefits may include health & wellbeing benefits, pension plan, and paid parental leave & care of family member leave.

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