Overview
Microsoft is aggressively advancing its position in the digital advertising market by building a state-of-the-art online advertising platform and services. Our team is at the forefront of the innovation, leveraging cutting-edge AIGC and LLM to empower advertisers for demand growth and enhance user experience. This includes visual content optimization and generation. We are seeking passionate scientists and engineers to join this world-class team, solve challenging problems, and deliver products that provide value to hundreds of millions of users and advertisers, driving direct, measurable impact on our global business.
Responsibilities
- Spearhead research initiatives in AIGC and VLM, integrating state-of-the-art technologies and frameworks to elevate ad content generation quality and performance.
- Architect and scale robust, high-throughput systems capable of processing massive datasets efficiently and reliably.
- Lead the full lifecycle of advanced image processing and generation models, including data collection, training, evaluation, and deployment.
- Apply deep machine learning expertise to monitor model performance, troubleshoot production issues, and iterate based on real-world feedback and metrics.
- Conduct rigorous data analysis and online experimentation to uncover optimization opportunities and validate algorithmic impact.
- Collaborate across disciplines—engineering, product, and research—to deliver cohesive, end-to-end solutions aligned with business goals.
- Champion ethical AI practices by identifying bias, contributing to privacy policies, and ensuring responsible data usage throughout the development process.
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.
- Minimum of 4 years of industry experience with a focus on computer vison, image/video generation and editing
- Demonstrated leadership or significant contributions to the design, data, training of advanced AIGC models (e.g. diffusion/AR models and distillation, VAEs etc.)
- Proficiency in programming languages with high performance such as: C/C++, C#, Python
- Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions
- Strong communication skills, with the ability to collaborate effectively across algo, product and engineer teams
Additional Or Preferred Qualifications
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
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 Accommodation request form .
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