Microsoft Principal Applied Science Manager 

India, Karnataka, Bengaluru 

89795036

The Product

Our goal is to

Power Pages’and richtowards our shared mission of delivering a highly innovative, AI powered experience that is positioned to fundamentally change what business applications look like in the future.

track recordof shipping at-scale AI-enabled intelligent systems to drive vision and innovation for P. As a Principal Applied Science Manager, you will be leading an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research 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.

Required :

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research)

• Master's Degreein Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND6+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND5+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• + year(s) people management experience

• +years experience

Preferred:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• years experiencewriting production code as well as deploying andmaintainingshipped models over time.

• +years experienceworking on deep learning architectures specifically with Natural language-based models, vector databases and graph databases

• Lead, build, grow and support an innovative applied science team
• Technical leadership in an applied science teamin the area ofLarge Language Models, Natural Language Processing, Machine Learning and Deep Learning.

• Push the boundaries of AI platforms through innovation and partnership.

• Develop and deploy conversational and language understanding models at scale.

• 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.

• cultureand

• and