Microsoft Software Engineer 

United States, Washington 

818634638

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#, Java, JavaScript or Python.
• 2+ years of experience as a full-stack developer, developing front-end as well as backend code utilizing node.js/react or similar.
• 2+ years of experience with Azure and AzureML or similar products.

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:

• SRE experience to configure/deploy/maintain end-points / experience deploying setting-up models
• Interest in AI/machine learning in healthcare.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until June 30, 2024.

We are looking for a full-stack Software Engineer with experience working with all service aspects of high throughput Artificial Intelligence-Language Model (AI-LM) pipelines, including working with internal component providers and their APIs, ability to design components carefully, and properly handle errors.

• Develop, test and maintain the codebase/repo for all Health and Life Sciences (HLS) benchmarks and experiment pipelines in tandem with Babelbench (Microsoft’s internal platform for model evaluation and benchmarking).
• Active use and participation with main Babelbench code and team.
• Create new GUI elements and experiences as needed to appropriately render HLS-relates benchmarks and use-cases within Babelbench (and other reporting tools as required).
• Stand-up new models / end-points and maintain existing end-points to provide a reliable and comparable set of benchmarks.
• Work with product, customer-facing and research teams to develop new datasets and benchmarks as required to fulfill identified, real-life use-cases.
• Publish all benchmark results in appropriate forums (Babelbench and others as required) in compliance with Microsoft’s privacy, security and customer commitments.

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