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You’ll join the asset generation team in Microsoft AI focusing on image and video retrieval, recommendation and generation. You will build core generative AI solutions that power customer-facing AI solutions and services for Microsoft Advertising at Bing platforms. In this role, you’ll combine solid computer vision skills with applied ML expertise to design, prototype, evaluate and ship production systems—using techniques like knowledge distillation, prompt engineering, reinforcement learning, image/video processing and rigorous evaluation/metrics to continuously improve image and video asset qualities. You’ll partner closely across product, research, and service engineering to deliver the innovative and robust solutions for enterprise customers.
Job Responsibility:
Research, develop, and build effective and innovative production-grade generative AI and classical computer vision systems, with end-to-end ownership from concept through deployment and service operations
Lead technical design for core GenAI capabilities on image and video assets (e.g., image and video generation, super-resolution and summarization) and make data-driven tradeoffs across quality, latency, cost, and safety
Define and improve model and system quality using evaluation frameworks, experiment design, and metric evaluation
ensure robust testing and regression coverage
Collaborate with the partner teams to build solutions that meet enterprise requirements and align with customer needs and make business impact
Requirements:
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
Demonstrated solid modelling skills in training and inferencing on online and offline computer vision models and related performance optimization for latency and artifact
Experience with prompt engineering, knowledge distillation and post-training
Experience building and shipping generative AI systems (including image and video systems)
Familiarity with compliance and security standards in enterprise AI solutions
Track record of delivering enterprise-facing AI products at scale
Experience building and operating ML/AI systems in cloud environments
familiarity with MLOps practices (Azure a plus)
Experience in publishing papers in top-tier computer vision and machine learning conferences such as CVPR, ICML, ICCV, Neurips and ICLR
Nice to have:
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)