Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

234700.0

Posted On

06 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Large-Scale Model Training, Training Infrastructure, Distributed Training, Reinforcement Learning, Agentic Models, Debugging, Collaboration, Documentation, Agile Mindset, Problem Solving, Statistical Analysis, Predictive Analytics, Research, Knowledge Sharing

Industry

Software Development

Description

Overview Joining the CoreAI organization at Microsoft means becoming part of the team that builds the end-to-end AI stack powering Azure’s innovation. As a Senior Applied Scientist on the GenAI Infra and Solutions team within CoreAI, you will help develop the AI infrastructure that accelerates the creation of agentic AI systems across Microsoft. This role is dedicated to advancing scientific methods and scalable infrastructure for training agentic models to achieve frontier-level performance. You will contribute to LLMs, SLMs, and agentic models using both proprietary and open-source frameworks, all aimed at delivering reliable, enterprise-grade agentic workflows. We are seeking a curious, independent, adaptable problem-solver who thrives on continuous learning, embraces changing priorities, and is motivated by creating meaningful impact. Candidates must be self-driven, able to write efficient code, debug complex training jobs, document findings, and demonstrate a track record in these fields. In addition, we value an agile, startup-style mindset - someone who can iterate quickly, pivot when needed, and collaborate effectively in fast-paced, dynamic environments. 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Write efficient, production-quality code and debug complex training jobs Build and maintain training pipelines and architectures across both proprietary and open-source frameworks Collaborate effectively within interdisciplinary teams and communicate complex research concepts in clear, actionable ways Document findings and insights to enable effective cross-team collaboration and knowledge sharing Drive innovations that power flagship Microsoft products and services Qualifications Required Qualifications: 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. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: 2+ years of coding experience in Python and experience with ML frameworks such as PyTorch and Triton 2+ years experience of large-scale model training for LLMs, SLMs, and agentic models 2+ years of proven ability to design and scale training infrastructure and pipelines in production environments Experience with agent training frameworks Hands-on experience with large-scale distributed training and/or serving with demonstrated ability to dive deep into complex systems, troubleshoot unconventional issues, and craft innovative solutions under real-world constraints Experience with large-scale training, model inference, reinforcement learning, and reasoning models Ability to collaborate across interdisciplinary teams and communicate complex ideas clearly Startup-style mindset: agile, solution-oriented, and self-driven #coreai Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Senior Applied Scientist will write efficient, production-quality code, debug complex training jobs, and build and maintain training pipelines. They will also collaborate within interdisciplinary teams and drive innovations for Microsoft products and services.