Senior Software Engineer - Full-time

The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet. Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry Finetuning Team is at the forefront of this mission, working on groundbreaking projects for finetuning of Azure OpenAI and OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users. 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** As a Software Engineer on our team, you will drive the design, development, and support of the platform that powers Azure Machine Learning and Azure OpenAI. You’ll work across teams to help make the whole organization successful. Your responsibilities will include the following: · Design, implement, and support scalable, reliable, high-performance services · Write clean and concise code with unit tests · Design, implement, and support new features as well as extend existing systems · Investigate live site issues and implement and deploy fixes · Participate in an on-call rotation · Drive quality engineering via code reviews and design discussions **Qualifications** Required 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 + OR equivalent experience. Preferred Qualifications • 5+ years of experience writing production code in building internet scale services and distributed systems. • Ability to debug, read code and work on a large and increasing codebase. • Engineering knowledge of machine learning systems and data pipelines. • Excellent communication and presentation skills Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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. 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 posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. \#CoreAI 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) .