Senior Machine Learning Engineer
About The Position
The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. We are looking for a Senior Machine Learning Engineer to join our team! This is an exciting time to join our group and work on something highly strategic to Microsoft. Microsoft Dataverse is the platform to securely store an enormous amount of data in a cost efficient, scalable and easily manageable way. This team builds a suite of microservices to get near real-time insights over your data in Microsoft Copilot Studio. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality. 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.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Nice To Haves
- 5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.
- Experience with modern python.
- Demonstrated experience on the e2e lifecycle of an ML or AI feature.
- Contributions to the broader MLE community through talks, papers, or other outreach.
Responsibilities
- Collaborate with Applied Researchers to develop hypotheses, acquire data, and train models for strategically important features in Copilot Studio.
- Co-own the training and evaluation pipeline. Your role requires listening to Applied Researchers, identifying pain points or agility problems, and owning the E2E improvements to our process.
- Develop and manage training data sets using human vendors, synthetic data generation, and customer-donated data.
- Set and enforce the software quality bar for both human and AI-generated features.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
