Principal Machine Learning (ML) Engineer
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Sep 26, 2025 | |
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OverviewDo you enjoy solving problems, writing software, and working with customers? Do you want to join a team where learning about new technology is part of our work every day? Then, come join us! The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. We are hiring a Principal Machine Learning (ML) Engineer with deep experience and expertise in designing and delivering solutions using modern software engineering practices and cloud technologies. You will work closely with a technical program manager and data scientist to co-lead a cross-functional team to work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. You will join a multi-disciplinary team, including software engineers, data scientists, designers, and technical program managers to that forms close collaborations with high-impact and strategic customers and their engineers to build innovative solutions. As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams. You will apply your skills, creativity, and aspirations to benefit our customers and advance your careers. Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done. We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
ResponsibilitiesFull-stack ML solution development: Design and implement end-to-end machine learning solutions that integrate seamlessly into production-grade software systems, leveraging both ML expertise and strong software engineering fundamentals.Cross-functional collaboration: Collaborate closely with multidisciplinary teams-including data scientists, software engineers, architects, and industry experts-to co-create AI solutions tailored to enterprise customers in healthcare, finance, manufacturing, and other verticals.Apply state-of-the-art ML techniques: Select, implement, and fine-tune machine learning algorithms (e.g., classical ML, deep learning, large language models) tailored to domain-specific challenges in areas such as healthcare, finance, manufacturing, and retail.Engineer for production at scale: Design ML pipelines and infrastructure that support deployment, monitoring, and continuous improvement in Azure cloud environments, adhering to enterprise-grade reliability and security standards.Contribute to customer co-innovation: Act as a trusted technical advisor during customer engagements, working side-by-side to prototype solutions, transfer knowledge, and guide AI adoption.Drive technical excellence and mentorship: Provide technical leadership and mentoring to other engineers, setting high standards for software quality, experimentation, and responsible AI practices.Stay ahead of AI trends: Continuously evaluate emerging technologies in ML and AI, and proactively integrate advances into Microsoft's solution strategy when aligned with business goals.Advance responsible AI: Champion and apply Microsoft's responsible AI principles in the development and deployment of ML systems, ensuring fairness, privacy, transparency, and accountability.Contribute to reusable assets and accelerators: Develop and maintain reusable code, frameworks, and documentation that accelerate solution delivery across industry scenarios.Embodies our culture and values. | |