Applied Scientist

Overview Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) - the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you'll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. In the new era of AI, this role within Engs Ops Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for an Applied Scientist II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists. Responsibilities As a Data and Applied Scientist in our team, you will: Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability. Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback. - Communicate technical findings and insights effectively. Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate on improvements. Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications.? Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. Preferred qualifications: Direct experience building intelligent AI Reasoning agents using Machine Learning and language model frameworks with LLMs / SLMs #PRIMOjobs #EngOps Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (