Microsoft Principal Applied Scientist 

United States, Washington 

218442770

The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 5+ year experience delivering, scaling, andmaintaininghighly successfuland innovative machine learning products with your fingerprints all over them.

Preferred Qualifications:

• Proven experience in algorithm development and analytical background andvery goodunderstanding on how to apply advanced knowledge to solve real problems.
• Ability to work independently in a team to deliver innovative solutions solving difficult business/technical problems from high level vision and architecture, down to quality design and implementation.
• Have good understanding of state-of-the-art machine learning and deep learning technologies. In particular, hands-on experiences with deep learning models (DNN, Attention, CNN, RNN) and frameworks (TensorFlow,PyTorch,Keras, etc.) will be very helpful.
• Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE.
• Self-motivated and self-directedand beable to work constructively with a wide variety of people, team and changing business priorities.
• Proven experience with computer vision libraries and frameworks, such as OpenCV, TensorFlow,PyTorch, or similar tools. Familiarity withcutting-edgetechniques in image processing, object detection, and image segmentation.
• Deep knowledge of machine learning and deep learning algorithms and other relevant architectures for image and video analysis.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 16, 2024.

• Building and maintaining production machine learning models to generate text assets and predict ad quality.
• Finding insights and forming hypothesis on web-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, Natural Language Processing (NLP), optimization, p-values analysis.
• Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
• Crafting and Optimizing Prompts for Effective Large Language Models (LLM) Performance: Design, test, and refine prompts to elicit accurate, relevant, and useful responses from LLMs. This involves understanding the nuances of how the model interprets different inputs, experimenting with various prompt formulations, and iterating based on performance metrics and user feedback.