Job ID: 200064396Posted: 2026-11-02Location: United Kingdom, Cambridgeshire, CambridgeEmployment type: Full-TimeWork site: 3 days / week in-officeRole type: Individual ContributorTravel: Less than 25%Profession: Software EngineeringDiscipline: Software EngineeringCompany: MicrosoftOverviewThe 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. ResponsibilitiesDevelop 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 workflowsWork 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. QualificationsRequired qualifications: Completed MSc in computer science, machine learning, AI or a related areaProficiency in collaborative software engineering in PythonIn-depth understanding of machine learning frameworks such as PyTorch and/or JaxExperience in designing, developing and deploying ML systemsExperience with agentic software developmentExperience 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 backgroundsQualifications 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: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: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: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: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.
Senior Research Engineer Machine Learning, AI for Science employer: Microsoft
At Microsoft, we pride ourselves on being an exceptional employer, particularly for the role of AI Business Solution Sales Manager. Our culture is rooted in innovation, inclusivity, and continuous learning, providing employees with ample opportunities for professional growth while working in a dynamic, fast-paced environment. With a strong focus on collaboration and customer success, our team members are empowered to make a meaningful impact, supported by industry-leading resources and a commitment to employee development.
