Applied Science Manager
2 weeks ago
Overview
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.
Qualifications
Required Qualifications:
Ph.D. degree AND 3+ year's experience (or Master's AND 6+ years' experience, or Bachelor's AND 8+ years' experience, or 10+ years of equivalent 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 learning Strong 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 tools Excellent 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 platforms Experience with OpenAI GPT(Generative Pre-trained Transformer models), Azure AI Services Strong people leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members. Strong experience in leading applied science or research teams, preferably in the field of responsible AI#IDCAIPlatformHiring
Responsibilities
Drive the development and execution of the team's research agenda, prioritizing projects that address responsible AI challenges Lead and contribute to research projects focused on developing innovative techniques and methodologies for both the measurement and mitigation of AI risks Stay up-to-date with the latest advancements in responsible AI research and industry best practices Collaborate with internal and external stakeholders to ensure responsible AI practices are integrated into the development and deployment of AI solutions Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams Provide technical guidance and mentorship to the team, fostering a culture of innovation, collaboration, and continuous learning Internalize and champion Microsoft's culture and values Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect-
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