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Senior Research Engineer Machine Learning, AI for Science

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Microsoft Corporation

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Location:
Germany , Berlin

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Category:
Research and Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Microsoft Research AI for Science we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs. For our labs in Amsterdam (NL), Cambridge (UK) and Berlin (DE) we seek a highly motivated research engineer with expertise in machine learning and/or distributed systems to join our projects on the intersection of machine learning and molecular biology (See https://www.microsoft.com/en-us/research/project/biomolecules/ and https://www.science.org/doi/10.1126/science.adv9817), and our centralized engineering team. Our team encompasses people from multiple disciplines across machine learning, engineering, and the natural sciences, who work together closely on well-defined and challenging goals. If you have strong machine learning expertise and enjoy designing and creating tools for scalable machine learning research for the natural sciences, please apply.

Job Responsibility:

  • Develop and maintain tools, models and technologies for building, training, optimizing and scaling machine learning solutions
  • Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data
  • Build and optimize distributed data processing and model building pipelines
  • Prepare and maintain open-source releases and releases for internal and external beta testers
  • 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 best practices across the organization

Requirements:

  • Completed MSc in computer science, machine learning, AI or a related area
  • Proficiency in collaborative software engineering in Python
  • Familiarity with Linux and the open-source ecosystem
  • In-depth understanding of open-source machine learning frameworks such as PyTorch and/or Jax
  • Experience in designing, developing and deploying ML systems
  • 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

Nice to have:

  • 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 with LLMs and/or frameworks like ggml, llama.cpp, vllm

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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