Microsoft Corporation Principal Software Engineer in Redmond, Washington
Help us bring the power of AI into Microsoft products, reaching millions of customers, while we Democratize Artificial Intelligence (AI) technologies through leveraging petabytes of data to solve real-world problems.
Azure Machine Learning (AML)
Microsoft is at forefront of this AI/ML (Artificial Intelligence/Machine Learning) revolution to help enterprises with platforms to make decisions, train models and learn across their entire product portfolio using Azure Machine Learning Service. If you like challenges and want to develop services to support AI/ML solutions to empower enterprise, organization and AI/ML practitioners to improve their products through AI, then this is your ideal opportunity. We are the AI Platform team in the Cloud and AI platform group, and seeking an experienced Principal Software Engineer with distributed systems experience.
Microsofts 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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positivelyimpactour culture every day.
Partner with appropriate stakeholders to determine user requirements for a set of scenarios.
Lead the way inshapingthe architecture anddesignofvitalcomponents and features.
Collaborate with cross teams to build scalable platforms to enable machine learning DevOps.
Invest in the growth of an inclusive environment by mentoring and training team members within the team and across the org
Other: Embody ourCulture (https://www.microsoft.com/en-us/about/corporate-values) andValues (https://careers.microsoft.com/us/en/culture)
OR equivalent experience.
5+ years of experience indesigning andbuildinghigh-scalecloudservices.
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.
Proven problem solving, design, coding and debugging skills from prior work on distributed systems, API design and engineering for scale
Experience in applying Machine Learning, Statistical data analysis to petabyte-scale data
Experience with Azure or other cloud technologies
Proficiency in C# and/or Python
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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 is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
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