Description
Job Description
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Overview
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:
- Bachelor's 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:
- Bachelor's 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 Master's 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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft
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