Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Research Engineer Machine Learning, AI for Science role.
Rezi rewrites your resume against Microsoft's job description. Free.
Tailor your resume to this Senior Research Engineer Machine Learning, AI for Science role.
Rezi rewrites your resume against Microsoft's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Engineer Machine Learning, AI for Science posting at Microsoft — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Research Engineer Machine Learning, AI for Science posting at Microsoft — free, in seconds.
About the Role
The team's mission is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. This role focuses on developing and maintaining efficient, reliable end-to-end infrastructure for large-scale model training, evaluation, and benchmarking, including data pipelines, distributed training, and agentic workflows.
Responsibilities
- 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.
- 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.
- Continuously monitor and improve the stability of data, training, evaluation, and benchmarking workflows.
- Work cross-functionally with machine learning researchers, engineers, and natural science researchers.
- Maintain high standards in code quality and software design.
- Document and share practices across the organization.
Requirements
- 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.
- 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.
Skills
- Python
- PyTorch
- Jax
- Machine Learning
- AI
- Distributed Systems
- Large-data applications
- Agentic software development
- Cloud platforms
- HPC
- Scientific software development
Location
- United Kingdom
- Germany
- Netherlands
Work Type
- Full-time
Experience Level
- Software Engineering IC4
Education Level
- MSc in computer science, machine learning, AI or a related area
- PhD degree in computer science, machine learning, AI or a related field
Salary/Compensations
- £ 74,700.00 - £ 122,600.00 per year (United Kingdom)
- € 90,100.00 - € 152,500.00 per year (Germany)
- € 78,800.00 - € 133,300.00 per year (Netherlands)
Benefits
- Certain roles may be eligible for benefits and other compensation.
About the Company
- Microsoft is an equal opportunity employer.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.