As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. Help us push the frontiers of metrics and measurement. Our team focuses on building insights into Microsoft’s AI products. We’re looking for a talented Machine Learning (ML) Engineer to build inference infrastructure to help us understand and improve how people interact with Microsoft’s AI products. Our team is seeking people with deep technical talent, a drive to deliver, and a creative/entrepreneurial spirit. The ideal candidate has experience in High-Performance Computing (HPC), distributed (batch) inference in machine learning, and/or working with cloud infrastructure. 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. By applying to this U.S. New York, New York OR Mountain View, CA OR Redmond, WA , OR Boulder, CO position, you are required to be local to the New York OR San Francisco OR Seattle OR Denver area and in office 3 days a week. Responsibilities • Creates pipelines for machine learning, inclusive of data preparation, inference, and integration with downstream systems. • Comfortable with large scale data processing pipelines to extract business value from user logs. • Learning about, understanding, and experimenting with the latest LLM capabilities that keep up with your customers. • Partnering with engineering, product, and leadership teams to create robust client libraries that facilitate large scale inference on user data. • Driving design and technical strategy decisions based on product needs, customer feedback and best development practices. • Providing technical leadership and subject matter expertise as you establish and grow best practices for the integration of emerging technology. • Embodying Microsoft’s culture and values. • Embody our Culture and Values. Qualifications Required Qualifications: • Bachelors Degree in Computer Science, or related technical discipline AND 6 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python • OR equivalent experience. • Experience with Python, SQL, and/or Spark. Preferred Qualifications: • Bachelors Degree in Computer Science or related technical field AND 10 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python • OR Masters Degree in Computer Science or related technical field AND 8 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, or Python • OR equivalent experience • Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines. • Experience with Python package development. • Experience with LLMs and prompt engineering. • Experience with ML and data science libraries such as sklearn, PySpark, pandas, and transformers. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. About the Company: Microsoft DO WHAT YOU LOVE Make your mark on the world’s most used technologies. Develop the next hit mobile application. Pioneer a startup that could be the next big thing. At Microsoft, you choose your path. Headquartered in Redmond, Washington, Microsoft is a top innovator in both the consumer and enterprise technology industry. Just a few of the many things our products do are unleash creativity, connect businesses, and make learning more fun. But our continued success is based on one thing: our employees. We hire amazing, talented people and give them the opportunities—and the tools—to succeed. WHY MICROSOFT? As a Microsoft employee, you’re surrounded by a diverse group of the smartest people in your field. This fosters new ideas, better business results, and creates a dynamic work environment. In the office, you’re constantly challenged and supported by your colleagues. Every day holds something new and exciting. We also offer unparalleled depth and breadth of career opportunities. As an industry leader in multiple fields, working for Microsoft means being able to do whatever you feel passionate about—and being able to make an impact in that field. From day one, we give our employees significant responsibility. This means that you’ll know that you directly contributed to something that has a positive impact on people worldwide. Whether you choose to work in management, dive deep into the newest technology, or explore multiple professions, you’ll find everything you need at Microsoft to drive your career—and to make a difference. WE GET IT – YOU’RE MORE THAN YOUR JOB Everyone works differently and is motivated by different things. We also understand that there’s more to you than your job. That’s why we offer competitive pay and a wide assortment of benefits-- to help you make the most of life at work and away from it. GET THE BALL ROLLING Company Size: 10,000 employees or more Industry: Computer Software Founded: 1975 Website: http://www.microsoft.com
Job Type
Fulltime role
Skills required
C#, Java, Python
Location
Redmond, Washington
Salary
No salary information was found.
Date Posted
April 23, 2025
Microsoft is seeking a Machine Learning Engineer to enhance AI product insights and build inference infrastructure. The role requires deep technical expertise in machine learning and cloud infrastructure.