The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science. Learn more about our work on accurate and scalable DFT in our blog and on our project website.
The primary focus of this role will be developing and maintaining efficient, reliable end-to-end infrastructure for large-scale model training, evaluation, and benchmarking, including large-scale data pipelines for heterogeneous scientific data, distributed training, experimentation, and agentic workflows. If you have solid machine learning engineering expertise and enjoy building scalable infrastructure that enables cutting-edge machine learning research, we encourage you to apply.
This post will be open until the positions are filled.
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, 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.
Qualifications
Required qualifications:
- 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.
Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Software Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html
Software Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/netherlands-corporate-pay.html
Software Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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.
Skills Required
- Completed MSc in computer science, machine learning, AI, or a related field
- 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 systems using tensor accelerators or GPUs
- Ability to communicate technical concepts effectively to non-experts and work in an interdisciplinary collaborative environment
- PhD in computer science, machine learning, AI, or a related field, or comparable industry experience with machine learning and large datasets
- Experience with major cloud platforms and/or high-performance computing
- Experience developing high-performance scientific software
- Experience designing or developing agentic frameworks, orchestration systems, or infrastructure for building and running AI agents
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
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Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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