Senior Research Software Development Engineer, MSR AI for Science

Who you are

You have a strong background in software engineering and distributed systems, with a focus on machine learning applications in scientific research. Your experience includes designing, planning, and implementing tools that support AI-driven scientific discovery. You are motivated by the opportunity to make a real-world impact on significant societal challenges such as climate change and sustainable materials.

You possess deep expertise in distributed computing, enabling you to effectively contribute to large-scale deep learning projects. Your collaborative spirit allows you to work closely with multidisciplinary teams, combining your technical skills with insights from the natural sciences. You are passionate about advancing the frontiers of scientific modeling and discovery through innovative technology.

Your proficiency in machine learning frameworks and tools positions you to drive major advances in scientific research. You are comfortable navigating complex problems and enjoy the challenge of developing solutions that can transform scientific methodologies. You thrive in environments that encourage teamwork and collaboration, understanding that impactful contributions often come from collective efforts.

Desirable

Experience with AI applications in scientific contexts is a plus, as is familiarity with the latest advancements in machine learning and deep learning technologies. You are eager to stay updated on emerging trends and methodologies in AI for science, contributing to the ongoing evolution of the field.

What you'll do

As a Senior Research Software Development Engineer at Microsoft, you will be at the forefront of transforming scientific discovery through machine learning. You will lead efforts to develop and implement innovative software solutions that enhance scientific modeling and research capabilities. Your role will involve collaborating with researchers and engineers to design systems that leverage large-scale deep learning for impactful scientific outcomes.

You will be responsible for architecting and optimizing distributed systems that support AI-driven research initiatives. This includes developing tools and technologies that facilitate data analysis and modeling, ensuring that they are robust, scalable, and efficient. You will also engage in cross-disciplinary collaboration, working alongside experts in various scientific fields to understand their needs and translate them into technical solutions.

Your contributions will directly influence the direction of AI for Science projects, helping to shape the future of scientific inquiry. You will mentor junior engineers and researchers, fostering a culture of knowledge sharing and continuous improvement within the team. Your insights and expertise will be invaluable in guiding the development of best practices and innovative approaches to scientific challenges.

What we offer

Microsoft offers a dynamic and inclusive work environment where you can thrive as part of a global team dedicated to advancing scientific discovery through AI. You will have access to cutting-edge technologies and resources that empower you to make a meaningful impact in your field. The company values collaboration and encourages you to bring your unique perspective to the table.

In addition to competitive compensation, Microsoft provides opportunities for professional growth and development. You will be part of a mission-driven organization that is committed to addressing some of the most pressing issues facing society today. Join us in our quest to harness the power of AI for the betterment of humanity.