2 days ago
Berlin, Germany +3 moreSenior
Responsibilities
- Develop and maintain scalable infrastructure for large-scale machine learning training, evaluation, and benchmarking.
- Architect and implement data pipelines for heterogeneous scientific data used in model training and experimentation.
- Build and optimize distributed data processing, model training, evaluation, and benchmarking pipelines using tensor accelerators or GPUs.
- Develop agentic software workflows to automate and improve model development, training, evaluation, and benchmarking.
- Monitor and improve the stability of data, training, evaluation, and benchmarking workflows.
- Collaborate with machine learning researchers, engineers, and natural-science researchers.
- Maintain code quality, software design standards, and organizational documentation.
Requirements
- Completed MSc in computer science, machine learning, AI, or a related area.
- Proficiency in collaborative software engineering with Python.
- In-depth understanding of machine learning frameworks such as PyTorch and/or JAX.
- Experience designing, developing, and deploying machine learning systems.
- Experience with agentic software development.
- Experience building and optimizing distributed systems and large-data applications, including applications using tensor accelerators or GPUs.
- Ability to communicate technical concepts effectively to non-experts from different technical backgrounds.
- Preferred: PhD in computer science, machine learning, AI, or a related field, or comparable industry experience with machine learning and large datasets.
- Preferred: Experience with major cloud platforms, HPC, high-performance scientific software, agentic frameworks, orchestration systems, or infrastructure for AI agents.
Benefits
- Certain roles may be eligible for benefits and other compensation.
Categories
Data EngineeringML Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.