Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Research, AI Models, Machine Learning, Prototyping, Implementation, Evaluation, Deployment, Monitoring, Training Algorithms, Fine-tuning Algorithms, Publications, Presenting, Research Programs, Production Systems, Collaboration, Agile Environment

Industry

Software Development

Description

The team consists of Applied Scientists and Engineers partnering regularly with Product Managers and Designers. Our team works in an agile start-up like environment where we expect each team member to think out of the box to contribute and collaborate towards the mission of the team. Conduct applied research to develop innovative AI and machine learning models that address real-world challenges. Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring. Create and adapt novel training and fine-tuning algorithms for language models. Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems. Operate and support 24X7 usage of AI Models by customers Document and share best practices across the organization. Stay up-to-date with the latest advancements in AI and machine learning, and apply new techniques to solve complex problems. Embody our culture and values. 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. 4+ years experience conducting applied research devleloping innovative AI and machine learning models 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) OR equivalent experience. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team.

Responsibilities

Conduct applied research to develop innovative AI and machine learning models that address real-world challenges. Lead the end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.