Senior Applied Scientist

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Applied Sciences

Senior Applied Scientist to design and implement state-of-the-art ML models for Microsoft Ads and Copilot, impacting millions of users. Responsibilities cover the full modeling lifecycle from data strategy to deployment and evaluation, focusing on scalable solutions for ad relevance and user experience.

What you'd actually do

  1. Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
  2. Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
  3. Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
  4. Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
  5. Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Skills

Required

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
  • equivalent experience

Nice to have

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
  • equivalent experience
  • Proven experience in programming and data analysis skills
  • Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM
  • 5+ years of experience in developing and deploying large-scale machine learning models
  • Experience working on search, recommendations and ads modelling

What the JD emphasized

  • 4+ years related experience
  • 3+ years related experience
  • 1+ year(s) related experience
  • 6+ years related experience
  • 3+ years related experience
  • 5+ years of experience in developing and deploying large-scale machine learning models

Other signals

  • design and implement state-of-the-art machine learning models and algorithms
  • power key systems within Microsoft Ads, Copilot, and beyond
  • deliver scalable solutions that enhance ad relevance and optimize user and advertiser experiences
  • full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation
  • develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning