Principal Machine Learning Engineer
 Microsoft | |
 United States, New York, New York | |
 Oct 01, 2024 | |
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OverviewWe are looking for a Principal Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machine learning solutions. Successful candidates will have several years of experience designing, training and tuning machine learning (ML) models and their supporting infrastructure. A large part of the role will be spent incubating new ideas with researchers and working with product team engineers and/or partners who leverage the research. As a result, candidates should be comfortable learning new approaches and pushing the boundaries of current conventions while applying sound engineering principles. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
ResponsibilitiesYou'll be a member of a cross-disciplinary team of engineers, data scientists and researchers working in a research-oriented environment. You'll partner with researchers to quickly learn, implement and evolve novel ML algorithms and approaches.You'll interact with MS product teams, MSR partners and open-source communities to bring research implementations to broader audiences.You'll engineer complex, high performant, efficient ML training jobs using well-known and cutting-edge tools and frameworks. You'll reduce ML infrastructure complexities across research projects by simplifying onboarding, debugging infrastructures issues, scaling training jobs while maintaining high Graphics Processing Unit (GPU) utilization, contributing to open-source tooling/frameworks and keeping ML infrastructure documentation simple and up to date.Embody our culture and values. | |