Senior Applied Scientist

We are the core search team at Bing, and we are responsible for delivering high-quality search results that millions of users rely on every day. We use cutting-edge NLP technologies to find the best web documents for any query, across all languages and regions. To do this, we design metrics, create data pipelines, develop features and algorithms, and build new user experiences. We are looking for senior applied scientists who are passionate about creating innovative and scalable solutions. If you want to join our team, please apply now. We can't wait to hear from you.

Candidates must have a Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field. They should also have 3+ years of working experience, and strong skills in design and problem-solving, and a commitment to quality and engineering excellence at scale. They should be able to learn new techniques from textbooks or research papers and apply them to relevant business problems. Machine learning experience, especially in deep learning projects, is essential. Experience in recommendation algorithms or natural language processing is an advantage. Moreover, candidates should have strong skills in communication, collaboration, and analysis, and be able to execute effectively across team collaborations.

The candidates' goal is to increase the number of users who use our web search engine by delivering the most relevant documents for their queries. To do this, they will need to:

- Define metrics that measure the quality of user experience and satisfaction
- Develop and apply cutting-edge machine learning models and ranking algorithms that match user intent and preferences
- Manage and improve the data and data pipeline that feed the ranking models with reliable and diverse signals
- Design and maintain a robust and scalable ranking infrastructure that can serve the ranking models efficiently and safely
- Explore new ways to enhance relevance by analyzing user data or learning from the latest research and best practices in the industry and academia