Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, AI/ML Products, Transformer-Based Models, Deep Neural Networks, PyTorch, TensorFlow, Agent Based Architectures, Web Application Development, Cloud SaaS, Azure, AWS, GCP, Publication

Industry

Software Development

Description

Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product. Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices. Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven. 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. 3+ years of experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping 2+ years of experience with transformer-based models (e.g., GPT, Llama) These requirements include but are not limited to the following specialized security screenings: Experience coding and hands-on experience working with foundation models. Exposure to Deep Neural Network training and inference and experience in one or more deep learning frameworks (PyTorch, TensorFlow, etc.). Experience with Agent based architectures, frameworks and technologies (such as MCP, A2A protocol, Langchain, Azure AI Foundry) Experienced in web application development frameworks, such as React Experience delivering a Cloud SaaS product on Azure, AWS or GCP A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, WWW, CHI, PNAS, Nature)

Responsibilities

The role involves collaborating with various stakeholders, including researchers and product managers, to bridge the gap between research and product development. Additionally, the candidate will teach and guide colleagues in research techniques and share findings through publications.