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 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:
Pioneer research and stay up-to-date with the latest advancements in AIGC and VLM, applying SOTA technologies and frameworks to enhance the quality and performance of ad content generation.
Optimize and scale high-performance, large-volume systems to reliably handle massive datasets and ensure high throughput.
Lead the data collection, model training, evaluation, and deployment of advanced image processing and generation algorithms.
Analyse system performance and identify opportunities based on data analysis and online experiments.
Collaborate effectively with cross-functional teams (e.g., product manager, engineering, research) to deliver high-quality, end-to-end solutions.
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.
4+ years of industry experience with a focus on computer vision, 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.).
Excellent design and problem-solving skills, with a proven ability to translate ambiguous problems into clear, implementable solutions.
Proactive communication skills, with the ability to collaborate effectively across algo, product, and engineer teams.
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.
5+ years of industry experience with a focus on computer vision, image/video generation and editing.
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