Senior Machine Learning Engineer
Microsoft
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.
Responsibilities
Responsibilities include:
- 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.
Qualifications
Required Qualifications:
- 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.
Other Requirements: 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.
Preferred Qualifications:
- 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.
#BICJobs #MCSJobs
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.