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Senior Applied Scientist

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Job Details

Role: Senior Applied Scientist

Location: Redmond, WA / United States (Up to 50% work from home)
Job Type: Full-time
Travel: None
Base Salary Range: 117,200−117,200 - 229,200 per year (Redmond)

  • San Francisco Bay Area & NYC: 153,600−153,600 - 250,200 per year

About Microsoft

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As an Applied Scientist, you'll be part of a team focused on advancing the state-of-the-art in AI and research, contributing to impactful product quality and efficiency improvements. At Microsoft, innovation, integrity, and accountability are core values that fuel a culture of inclusion where employees thrive and make meaningful contributions.

About the Role

As a Senior Applied Scientist, you will be involved in cutting-edge research and development at the intersection of AI and product innovation. You will foster collaborations across teams at Microsoft, contributing to intellectual property, technology transfers, and impactful business solutions. Your work will enhance product quality through advanced research, machine learning models, and AI-driven solutions.

Responsibilities

  • Foster partnerships across Microsoft and beyond to deliver expertise and innovative technologies.
  • Bridge research and development, introducing new solutions, and contributing to intellectual property through publications and technology transfers.
  • Develop deep expertise in specific research areas and broad knowledge in related fields to enhance product quality and business impact.
  • Review, clean, and prepare data for analysis, ensuring that all technical standards are met.
  • Build prototypes for AI applications and implement scalable systems.
  • Design ML pipelines for data preparation and run advanced statistical analyses.
  • Train and deploy scalable AI solutions and support the application of intelligence in real product environments.
  • Apply advanced AI algorithms and work with large-scale computing frameworks to improve model performance and enhance business solutions.

Qualifications

Required Qualifications

  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related fields, or currently pursuing a doctorate.

Preferred Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, or related fields with 5+ years of relevant experience.
    -OR- Master's Degree with 3+ years of relevant experience.
    -OR- Doctorate with 1+ year of related experience.
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed papers).
  • Specialized experience in Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, or Optimization Algorithms.
  • Experience with frameworks like PyTorch, TensorFlow, or Keras for deep learning and statistical modeling.
  • Strong problem-solving skills and ability to work collaboratively across teams.

Benefits and Compensation

  • Competitive base salary ranging from 117,200to117,200 to 229,200 depending on location and experience.
    • In the San Francisco Bay Area and NYC, the range is 153,600to153,600 to 250,200.
  • Microsoft offers a comprehensive benefits package, including healthcare, retirement plans, and employee stock programs.
    Find more information here.

Equal Opportunity Employer

Microsoft is an equal opportunity employer. We encourage applications from all backgrounds and are committed to creating an inclusive work environment. Qualified applicants with arrest or conviction records will be considered in accordance with state and local laws.

Microsoft
Redmond, WA / United States