Senior Applied Scientist
2 weeks ago
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further.
This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure's innovation and differentiation, as well as all of Microsoft's flagship products, from Office to Teams, to Xbox.
We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.
We do not just value differences or different perspectives.We seek them out and invite them in so we can tap into the collective power of everyone in the company.
As a result, our customers are better served.Within AI Platform, the Cognitive Services team empowers developers and data scientists around the world and of all skill levels to easily add AI capabilities to their apps.
QualificationsRequired Qualifications:
Ph.
D.
degree AND 2+ years' experience (or Master's AND 5+ years' experience, or Bachelor's AND 8+ years' experience) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with specialization in natural language processing/computer vision/multimodal analysis/deep learning/machine learningStrong algorithmic problem solving and software development skills (Python/Java/C++).
Proficiency with open-source tools such as PyTorch.Experience with statistical analysis and data visualization toolsExcellent verbal and written communication skillsPreferred/Additional Qualifications:
Publication(s) in top-tier conferences or journals in related fields (e.g., ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, etc.).
Industry experience with large-scale data processing, distributed computing, or cloud platformsDemonstrated interest and/or expertise in Responsible AI and fairness considerationsExperience collaborating with teams of diverse technical and cultural backgrounds#IDCAIPlatformHiringResponsibilities
Conduct cutting-edge research to develop Responsible AI definitions, methodologies, algorithms, and models for both the measurement and mitigation of AI risksContribute to the development of Responsible AI policies, guidelines, and best practices and ensure the practical application of these guidelines within various AI technology stacks across Microsoft, promoting a consistent approach to Responsible AIEnable the safe release of new Azure OpenAI Service features and expand and enhance the Azure AI Content Safety Service with new detection technologiesDevelop innovative approaches to address AI safety challenges for diverse customer scenariosStay abreast of the latest advancements in the field and contribute to the community through publications at top venuesBenefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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