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Principal Machine Learning Engineer - Foundation Models - Microsoft Research
Redmond, WA
Job Description
OverviewThe Research for Industry (RFI) initiative seeks to identify and accelerate scientific advances in technologies such as data platforms, connectivity, robotics, and artificial intelligence (AI) and bring them to bear on opportunities in a variety of industries, including retail, financial services, energy, and agri-food, and others. As part of Research for Industry, you will work closely with partners, customers, and field experts to enable the data-driven future of different businesses. In collaboration with scientists in Microsoft Research, our engineers in Azure invent new technologies to bring the best in cloud and AI to bear on the emerging challenges and opportunities in industry. In this role, we are looking for a Principal Machine Learning Engineer to help leverage the advancements in large models to accelerate simulations in industry scenarios, such as in agriculture, food, supply chain, retail, energy, manufacturing, and other verticals. We are seeking a Principal Machine Learning Engineer with expertise in machine learning and distributed systems. This individual will have a deep understanding of machine learning and will be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research and simulations.
ResponsibilitiesArchitect, innovate, design, and implement scalable and robust solutions for machine learning involving large volumes of heterogeneous data. Build and optimize distributed data processing and model building pipelines. Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions Collaborate with cross-functional teams, including scientists, researchers, and software engineers. Document and share best practices across the organization. Work on research projects, write papers, present at research communities. Maintain the highest standards in code quality and software design.
ResponsibilitiesArchitect, innovate, design, and implement scalable and robust solutions for machine learning involving large volumes of heterogeneous data. Build and optimize distributed data processing and model building pipelines. Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions Collaborate with cross-functional teams, including scientists, researchers, and software engineers. Document and share best practices across the organization. Work on research projects, write papers, present at research communities. Maintain the highest standards in code quality and software design.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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