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Are you passionate about cutting edge Generative Artificial Intelligence (AI)/Large Language Models (LLM), Machine Learning (ML) and cloud technologies? Do you love working with passionate and cross-functional groups of people? Does pioneering new and innovative ways to collect and showcase key customer data sound exciting to you? Are you passionate about data and do you feel we’ve been missing the opportunity to be more data-informed at Microsoft? Do you want to contribute to an effort that is one of the most critical for the future success of Microsoft 365 and the Experiences + Devices group? If so, the Insights, Data Engineering & Analytics team (IDEAS) might be an excellent place for you to grow your career.

The Team:

Microsoft 365 is at the core of our Company’s mission to enable people and organizations to achieve more. The IDEAS team’s goal is to champion a data-informed culture; to inspire and enable the entire Experiences + Devices (E+D) group to make more informed decisions through data. We see this effort as a huge opportunity to provide information to the organization that will improve efficiency and empowerment and help Microsoft win in the critical cloud business sector.

We’re deeply committed to the development and career advancement of our engineers; we value the input of people who aren't afraid to be learning all the time, who celebrate mistakes because they show the way forward, and those who are happy to continuously improve. We strongly believe that diverse experiences and backgrounds, and an environment where everyone can feel safe to contribute their own insights in a data-driven, objective, but supportive way is the key to making the best workplace possible, and the best workplace makes the best products and services.

The Role:

Software Engineer II - Insights, Data Engineering & Analytics team (IDEAS)

As a Software Engineer II - (IDEAS) you will be responsible for technical leadership and end-to-end development of AI/ML powered data solutions that will help M365 gain strategic insights in this ‘Copilot’ era. We are looking for an experienced engineer to enhance data processing capabilities for Microsoft Copilot(s) and other strategic initiatives that are business critical for the company.

Location: By applying to this U.S. based position, relocation does not apply/is not provided for the role.

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

• Responsible for the technical leadership and end-to-end development of AI/ML powered data solutions that will help M365 gain the strategic insights we need to deliver the most optimal user experience and to quickly adapt to market conditions that are constantly evolving.

• Apply your Generative AI/Machine Learning, engineering and analytical skills to petabyte-scale data problems using the latest and most modern data analytics technologies on an ever-increasing number of data signals produced by the different products part of the M365 suite and our partners across the company.

• Responsible for designing features for large scale distributed data onboarding and as part of Data Driven culture, drive refinement of products through data analytics and integration.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 2+ years technical engineering experience with coding in languages including, but not limited to C#, Java, C++, JavaScript, or Python

• OR equivalent experience.

• 2+ years experience with building cloud scale big data analytics applications and cloud platforms (e.g. Azure, AWS, GCP).

• 1 + year experience with any of the following: Generative Artificial Intelligence (AI), Machine Learning (ML).

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:

• 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

o OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

o OR equivalent experience.

• Experience with Generative Artificial Intelligence (AI) and Machine Learning (ML).

• Experience with building cloud scale big data analytics applications and cloud platforms (e.g. Azure, AWS, GCP).

• Experience with at least one of the following scripting languages: PowerShell, Python, JavaScript or Ruby.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 will accept applications and processes offers for these roles on an ongoing basis.

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) .