United States, California, Mountain View
Sep 11, 2024
Overview
We are looking for a skilled Principal Applied Scientist with a background in Machine Learning, Reinforcement Learning, Causal Inference, Large Language Models, Natural Language Processing (NLP)/Natural Language Generation (NLG) techniques, Control Theory, Data Science, Data Mining, or related fields. This role is located in either Mountain View, CA or Redmond, WA. Candidates should have a keen interest in artificial intelligence and optimization at web scale.
They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making a direct impact on both user and advertiser experiences, and continually increasing the revenue for Bing ads. Our team focuses on selecting relevant ads and modeling how users interact with ad content on a search engine. Generating and understanding ad content and predicting how the user interacts with the ads on the search results page, or conversational interfaces, are critical modeling tasks.
The probability that a user will click on an ad or interact with the advertiser's landing page after clicking is important for measuring advertiser and user satisfaction. This position is for the Signals modeling team, which builds machine-learned models for predicting such events. Matching to advertiser-provided content and dynamically creating informative ad content to address users' information needs are also important modeling aspects of our team.
The team looks at all aspects of modeling including training data, features, the actual model (Large Language Models, neural nets, linear models, Gradient Boost Decision Tree (GBDT), etc.) and offline and online evaluation of those models. Engineers and scientists on our team work at the edge of machine learning and economics, developing in the online stack as well as offline workflows.
At its core, our team utilizes signals of user and advertiser intent to determine which ads are allocated and at what price. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Designing and building efficient models for predicting user interactions with ads and advertiser's pages.
- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers' return on investment.
- Developing models for causal reasoning using techniques from AI, ML, and statistics.
Other
Embody our Culture and Values
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