Senior Applied Scientist

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.

​​Applied Scientist are involved in advancing the state-of-the-art in AI and research. They are responsible for researching and developing an understanding of innovative tools, technologies, and methods that can be applied to improve product quality, performance, or efficiency. This role is pivotal in contributing knowledge around specialized tools and methods to support business impact, and serves as an expert in deeply specialized areas. Applied Scientists in this role are also involved in capability management and networking, reinforcing a positive environment, and contributing to publications on research finding.​

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.

**Responsibilities**

+ ​​Fosters partnerships across Microsoft and beyond to deliver expertise and technology, bridges research and development to introduce new solutions, and contributes to intellectual property through research publications and technology transfers, all aimed at creating significant business impact.​

+ ​​Develops deep expertise in specific research areas and broad knowledge in related fields, applies cutting-edge research and advanced concepts in collaboration with product teams, and contributes specialized knowledge to enhance product quality and business impact.​

+ ​​Reviews and prepares data for analysis, ensuring quality and technical standards are met, and assists in developing datasets for machine learning applications, with guidance from senior team members.​

+ ​​Implement prototypes of scalable systems in AI applications​

+ ​​Designs and utilizes machine learning pipelines for data preparation, and applies advanced algorithms to enhance business solutions, while independently running statistical analyses to validate model assumptions.​

+ ​​Contributes to the training and deployment of scalable AI solutions, develops new machine learning improvements, and supports the application of intelligence in real product environments, leveraging large-scale computing frameworks for model enhancement.​

**Qualifications**

**Required Qualifications:**

+ Doctorate or currently pusuing) in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field​

**Preferred Qualifications:**

+ ​​Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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.​

+ 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).​

+ Specialized experience in one or more of these areas: Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Large Language Models, Data Mining, Machine Intelligence (Artificial Intelligence) or related fields​

+ Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras.​

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 will accept applications and processes offers for these roles on an ongoing basis.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .