Senior Applied Scientist

Microsoft Advertising empowers businesses to reach global audiences with precision and creativity We build cutting-edge technology that connects advertisers and consumers across search display video and emerging media platforms We are seeking a Senior Applied Scientist to drive innovation in training and deploying LLMs Large Language Models and agentic models tailored for advertising In this role you will lead initiatives that address core challenges in ad retrieval creative generation relevance and safety contributing to the future of responsible high-impact advertising solutions 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 Design develop and train Large Language Retrieval models for advertising scenarios Innovate on model architectures and training strategies to enhance ad retrieval generation and relevance at scale Build solutions that proactively address ad safety including detection of deceptive or harmful content Collaborate cross-functionally with product and engineering teams to integrate models into production systems and validate their impact Lead technical exploration and research efforts staying at the forefront of advancements in AI and advertising technology Mentor junior scientists and contribute to a culture of technical excellence and innovation Qualifications Required Qualifications Bachelor s Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 4 years related experience e g statistics predictive analytics research OR Master s Degree in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 3 years related experience e g statistics predictive analytics research OR Doctorate in Statistics Econometrics Computer Science Electrical or Computer Engineering or related field AND 1 year s related experience e g statistics predictive analytics research OR equivalent experience Expertise in training and deploying LLMs Deep understanding of transformer architectures large-scale distributed training and model optimization Solid programming skills in Python C and familiarity with frameworks like PyTorch or TensorFlow 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 Experience in reinforcement learning multi-agent systems or decision-making frameworks Experience with ads systems search ranking recommendation engines or ad safety models is highly desirable Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the MicrosoftAI