Software Engineer II

The Azure Machine Learning (ML) team within the Artificial Intelligence (AI) Platform empowers data scientists and developers to effortlessly build, train, deploy, manage, and consume machine learning models. We are seeking a Software Engineer II to join the Models-As-A-Service team!

The Models-As-A-Service team designs, builds, and operates the industry's largest-scale engineering system for Large Language Models (LLMs) and Generative AI (GenAI) Services. This team is responsible for providing serverless access to a wide selection of 3rd party models from providers such as Mistral AI, Cohere, and Meta.

We are at the forefront of large-scale AI inferencing, working with the latest state-of-the-art models and ensuring our platform can offer the right AI capabilities to anyone, from the individual developer to large enterprise customers.

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. 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

Required/Minimum Qualifications:  

• Bachelor'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#, Rust, 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/Additional Qualifications: 

• Analytical & Problem-Solving skills 
• Experience Coding & Designing high performant systems.
• Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction

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 for the role until November 6, 2024

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#inferencing

#aimodels

#AIPlatform

• Design and develop features related to large-scale model inferencing.
• Benchmark and optimize AI models and inferencing runtimes.
• Work with Product Manager and our model providers to establish timelines for releasing new models.
• Other: Embody our Culture and Values