We are looking for a Senior Applied Scientist to join our team! As part of this role, you will focus on building AI features using LLMs for Copilots powering the next generation of Automation solutions for Microsoft's Power Automate.

Power Automate is transforming Process Automation by seamlessly integrating Digital and Robotic Process Automation, by leveraging Artificial Intelligence and Natural Language Processing for smart automation and by enabling every human on the planet to use a low-code, no-code approach to automate end-to-end scenarios seamlessly across APIs (Application programming interface) and UI (User interface).

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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 experience writing production code as well as deploying and maintaining shipped models over time.

2+ years experience working on deep learning architectures specifically with Natural language-based models, vector databases and graph databases.

2+ Experience designing data generation pipelines, experimentation plans, and setup metrics.

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) O

OR equivalent experience.

Experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs.

Experience collaborating effectively across partner teams.

Experience in Deep learning architectures and implementation using Pytorch or TensorFlow.