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Senior Applied Scientist - Collab Services

Microsoft
Redmond, WA Full-time 2/5/2026 $119.8k - $258k per year
Master's with 2+ Years of ExperienceUndergraduate with 5+ Years of Experience
Approval 98.4%Total filings 6,363New hires 3,142
👑 Elite Sponsor
FY 2025

Job Description

Join the Collab Services team at Microsoft as a Senior Applied Scientist, focusing on building AI and machine learning models to enhance collaboration in Office 365 applications like Word, Excel, and PowerPoint. You will analyze customer data, develop machine learning models, and ensure adherence to Microsoft's Responsible AI policies while fostering an inclusive team environment.

Requirements

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • 4+ years of experience in machine learning, deep learning, natural language processing, computer vision, and/or statistics
  • 4+ years of experience in software development
  • 2+ years of industry experience in an Applied Scientist role

Responsibilities

  • Build and deploy Machine Learning (ML) models, create data pipelines, and manage training and test datasets
  • Develop and ship machine learning models and large language model applications to customers
  • Collaborate with research teams to adopt the latest technologies
  • Measure the impact of models and work with product teams to design AI-powered experiences
  • Foster a healthy and inclusive team environment, provide technical guidance to other applied scientists, and act as a mentor

Benefits

  • Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.

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