Microsoft · Washington, DC, United States
Skills: JavaScript, Python, Java, C#/.NET
Overview
Shape the way the M365 measures and drives the feedback loop for its AI offerings!
On the M365 Evaluation Platform Team, you’ll have a front-row seat to how AI impacts millions of users. You’ll help steer one of Microsoft’s most important efforts forward, taking our evaluation system to the next level for our builders and partners.
Our goal is to accelerate learning by making sure all the user journeys of an eval system (fine tuning a model, launching a new feature or experiment, adding metrics, onboarding a new 1P or 3P partner, understanding user feedback, creating query sets, etc.) are supported by friendly, agile, reliable, scalable and well documented tools.
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
Partner with appropriate stakeholders to determine user requirements for our evaluation scenarios. Provide technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform. Lead by example and mentor others to produce extensible and maintainable code used across the company. Leverage deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items. Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, ……
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