Online Advertising is a rapidly expanding industry, with significant opportunities and complexities driven by the immense scale of data and computational challenges. Microsoft's Ads Relevance and Revenue (RnR) team leads the forefront in developing cutting-edge algorithms for optimizing online advertising platforms. This interdisciplinary role integrates information retrieval, machine learning, data mining, statistics, and economics to solve intricate problems in digital advertising.

Responsibilities
As a Senior Applied Scientist, you will spearhead research and development efforts focused on enhancing intelligent search advertising systems. Key responsibilities include.

• Mining actionable insights from extensive data sources including user queries, online behaviors, advertiser campaigns, and system interactions within Microsoft's ads ecosystem.
• Leading algorithmic improvements and model enhancements to maximize revenue, improve user experience, and enhance advertiser ROI.
• Analyzing system performance through rigorous offline and online testing, identifying opportunities for optimization.
• Designing, developing, and implementing robust and scalable solutions that integrate seamlessly with Microsoft's advertising technology stack.
• Collaborating cross-functionally to innovate new products, refine advertising metrics, and optimize supply-demand forecasting.
• Leveraging advanced machine learning algorithms and cloud computing infrastructure to process and derive insights from large-scale datasets.

Qualifications

Required

• 7+ years of software development experience in C++, C#, C, or Python, with strong software design skills.
• 4+ years of hands-on experience with PyTorch or TensorFlow, demonstrating expertise in machine learning and deep learning techniques.
• Profound knowledge in one or more of the following areas: Large Language Models (LLMs), Natural Language Processing (NLP), Information Retrieval (IR), Computer Vision (CV), Reinforcement Learning (RL), and large-scale machine learning.
• Bachelor's degree in computer science or a related field.
• Exceptional problem-solving skills and proficiency in data analysis.
• Self-motivated with a passion for driving impactful solutions in a dynamic environment.
• Excellent verbal and written communication skills.

Preferred

• PhD or MS in a machine-learning related field, with a track record of publications in top-tier conferences.
• Experience deploying and optimizing large-scale machine learning models in real-world products.

Company Culture
Microsoft fosters a culture of inclusivity and diversity, providing equal opportunities to all qualified applicants. We encourage innovation and offer a collaborative environment where your contributions will directly impact millions of users and advertisers worldwide. Join us in shaping the future of online advertising through pioneering technology and continuous advancement.