Senior Software Engineer

vor 2 Monaten

Wien, Wien, Österreich Microsoft Vollzeit
Overview

Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like Power BI, Synapse Analytics, Azure Data Factory, Azure Data Explorer. We will bring the world's data to the Microsoft Cloud, power a new class of data first applications, and empower everyone on the planet to make better decisions with data.

We value and invite differences and diverse perspectives so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served.

As a Software Engineer in our Microsoft's HLS AI Benchmarking team, you will be at the forefront of advancing AI in healthcare, testing and benchmarking cutting-edge models for real-world Health and Life Sciences applications. You will actively contribute to high throughput AI-Language Model pipelines, ensuring their robustness and reliability. This opportunity will allow you to accelerate your career growth by working with leading AI models, develop deep technical expertise in effective, safe and responsible use of AI and healthcare, and gain valuable experience in full-stack development and benchmarking.

Our team of research and data engineers is advancing AI in healthcare. We're looking for a self-directed, hands-on engineer who thrives in a fast-paced environment and is motivated by creating real-world benefits. You will test and benchmark leading AI models for their application in Health and Life Sciences.

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

We're looking for passionate developers with experiences working with all service aspects of high throughput AI-LM pipelines, work with internal component providers and their APIs, ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. Responsibilities include:
  • Develop, test and maintain the codebase/repo for all 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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