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We are looking for a physics team lead in its Corporate CTO group with a broad acquaintance of multiple technologies with an experimental background in complex optical systems and lasers (ultra-fast optics is an advantage) as well as with the semiconductor process control and fabrication world, together with the ability to lead a small team and disruptive new directions.
Responsibilities:
our CTO group was established to create an influx of new technologies into our portfolio. This expansion of capabilities is critical for answering the growing diversity of challenges and needs arising from the fast-developing semiconductor industry.
The new tech team lead will use his understanding of the challenges and trends of the semiconductor ecosystem to personally conduct and manage others to perform concept and feasibility research (both internally and with external partners) on emerging needs, identify new technologies, and help drive them in the organization.

We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.
As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Research, Turing and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.
Responsibilities:
Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
Collaborate closely with our Research, Turing, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.