Senior Applied Scientist, Ads Monetization

What you'll do

• Design and implement machine learning models and algorithms to power advertising systems across Microsoft products.
• Solve large-scale challenges in user understanding, ad representation, retrieval, recommendation, ranking, and optimization.
• Apply NLP, computer vision, LLMs, and Generative AI technologies to improve advertising experiences.
• Define ad relevance problems across different scenarios to optimize outcomes for both users and advertisers.
• Drive algorithmic improvements using deep learning techniques and the latest large language models.
• Deploy robust and scalable solutions to continuously improve ad relevance and business outcomes.
• Analyze model and system performance using both offline and online testing methods.
• Implement agentic AI systems featuring tool calling, retrieval, planning, and multi-agent coordination.

What we're looking for

• Bachelor's degree in a related field and 4+ years of experience, Master's and 3+ years, or Doctorate and 1+ year of experience.
• Equivalent experience to the degree and years of experience requirements.
• Master's degree and 6+ years of experience, or Doctorate and 3+ years of experience (preferred).
• Equivalent experience to the preferred degree and years of experience requirements (preferred).
• 4+ years of experience developing NLP or multimodal ML systems using deep learning, including SLMs or LLMs (preferred).
• 4+ years of experience working in Computer Vision with latest deep learning technologies including Vision Transformers (preferred).
• 4+ years of experience developing and operating production ML or AI systems using Python, C++, or equivalent (preferred).
• Experience in online advertising (preferred).