Microsoft Senior Applied Scientist 

United States, Washington 

354173083

We’re hiringSenior Applied Scientistswith expertise in areas like Deep Learning, Ad tech, Ads recommender systems, and sequential modeling.

These roles are available inand
Mountain View, CA.

In this role, you’ll design and implement cutting-edge machine learning models and algorithms that power key systems across Microsoft Ads, Bing users, Copilot, and beyond.

You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences.

We are hiring for multiple roles across different teams which are part of Microsoft Artificial Intelligence (MAI)-Ads Engineering including teams for:

• Ads Relevance and Revenue (RnR) team – this team is at the core of this effort, responsible for research & development of all the algorithmic components in our advertising technology stack,
• Ads Recommender Systems : Ads selection and Ads Ranking
• Ads Understanding : The team is responsible for product ads selection, relevance, modeling, and online infrastructure for serving and experimenting cutting edge algorithms, ranging from natural language processing (NLP) to information retrieval, computer vision, etc.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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.
• 4+ years working experience in statistical natural language processing (NLP) with latest deep learning technologies including transformer and LLMs.
  
  • OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.
    
• 4+ years working experience with coding in production systems using c++, c#, java or python.

Preferred Qualifications:

• PhD with research experience in data science, machine learning and/or related fields.
• Experience in online advertising.
• Experience in parallel or distributed processing, high performance computing, stream computing.
• Ability to work independently in a team to deliver innovative solutions solving challenging business/technical problems from high level vision and architecture, down to quality design and implementation.
• Proven experience in algorithm development and analytical background
• Experience developing end to end analytics solutions or ML systems for real world applications.
• Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD - Knowledge Discovery and Data Mining, CIKM - Conference on Information and Knowledge Management, SIGIR - Special Interest Group on Information Retrieval, NeurIPS - Neural Information Processing Systems, CVPR - Computer Vision and Pattern Recognition, ICML International Conference on Machine Learning, ICLR - International Conference on Learning Representations, ICCV - International Conference on Computer Vision, and ACL - Association for Computational Linguistics).

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: