Senior Applied Scientist - CoreAI
Microsoft
Senior Applied Scientist - CoreAI
Redmond, Washington, United States
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Overview
The Multimodal Intelligence team, part of Microsoft’s Core Artificial Intelligence (CoreAI) organization, empowers developers and applied scientists across the globe to easily integrate AI capabilities—such as processing documents, videos, images, and other file types—into their applications.
We are seeking a Senior Applied Scientist - CoreAI to join our team. The ideal candidate will have a background in Applied Machine Learning, deep expertise in Python programming. Proven success in solving complex challenges in Natural Language Processing, Computer Vision, and Artificial Intelligence is essential. Familiarity with Large Language Models and Agent frameworks is a plus.
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.
Qualifications
Required/Minimum Qualifications
- Bachelor's Degree in Computer Science, or related field AND 4+ years related experience (e.g., Deep Learning, Computer Vision, Language Modeling, Statistical Modeling, Information Retrieval, Machine Learning, Engineering, Physics, or Mathematics)
- OR Master's Degree in Computer Science, or related field AND 3+ years related experience (e.g., Deep Learning, Computer Vision, Language Modeling, Statistical Modeling, Information Retrieval, Machine Learning, Engineering, Physics, or Mathematics)
- OR Doctorate in Computer Science, or related field AND 1+ year(s) related experience (e.g., Deep Learning, Computer Vision, Language Modeling, Statistical Modeling, Information Retrieval, Machine Learning, Engineering, Physics, or Mathematics)
- OR equivalent experience.
- OR Doctorate in Computer Science, or related field AND 1+ year(s) related experience (e.g., Deep Learning, Computer Vision, Language Modeling, Statistical Modeling, Information Retrieval, Machine Learning, Engineering, Physics, or Mathematics)
- OR Master's Degree in Computer Science, or related field AND 3+ years related experience (e.g., Deep Learning, Computer Vision, Language Modeling, Statistical Modeling, Information Retrieval, Machine Learning, Engineering, Physics, or Mathematics)
- 3+ years of industry experience building machine learning products
- 3+ years of experience in Python
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/Additional Qualifications
- Master’s or PhD (or in progress) in Computer Science
- 5+ years of industry experience designing and building machine learning systems and products
- Hands-on experience with building products using large language models
- Experience developing agent-based applications using large language models
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
Microsoft posts positions for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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Responsibilities
- Develop industry-leading products and agents powered by large language models for multimodal content understanding.
- Collaborate with Product Managers to define product requirements, scope, and priorities.
- Partner with researchers to translate cutting-edge research into scalable, real-world solutions.
- Engage directly with customers to understand their challenges, resolve issues, and incorporate feedback into product improvements.
- Embody Microsoft’s culture and values in all aspects of work