Senior Research Engineer Machine Learning, AI for Science

• Develop and maintain efficient, reliable, and scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking.
• Architect, design, and implement large-scale data pipelines for heterogeneous scientific data, supporting efficient model training, experimentation, evaluation, and benchmarking.
• Build and optimize distributed data processing, model training, evaluation, and benchmarking pipelines.
• Develop software and agentic workflows to automate and improve model development, training, evaluation, and benchmarking.
• Continuous monitoring and improvement of the stability of data, training, evaluation and benchmarking workflows
• Work cross-functionally with machine learning researchers, engineers, and researchers from the natural sciences.
• Maintain high standards in code quality and software design.
• Document and share practices across the organization.

• Completed MSc in computer science, machine learning, AI or a related area
• Proficiency in collaborative software engineering in Python
• In-depth understanding of machine learning frameworks such as PyTorch and/or Jax
• Experience in designing, developing and deploying ML systems
• Experience with agentic software development
• Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
• Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds

Qualifications that are considered a plus, but are not strictly required:

• PhD degree in computer science, machine learning, AI or a related field, or comparable industry experience in working with machine learning and large datasets.
• Experience working with major cloud platforms and/or HPC
• Experience developing high-performance scientific software.
• Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents.