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We’re hiring Senior Applied Scientists with expertise in areas like Deep Learning, Ad tech, Ads recommender systems, and sequential modeling.

These roles are available in Redmond, WA and 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.

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.

Responsibilities

You will play a key role to

• drive algorithmic and modeling improvements to the system (especially using deep learning techniques),

• analyze performance and identify opportunities based on offline and online testing,

• develop, and deliver robust and scalable solutions,

• make direct impact to both user and advertisers experience, and continually increase the revenue for Bing ads.

• conduct Research and Development (R&D) on intelligent search advertising systems to mine and learn actionable insights from large scale data and signals we collect from user queries and online activities, advertiser created campaigns and their performances, and myriad responses from the parties touched by the system in Bing ads paid search ecosystem.

Qualifications

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).

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#MicrosoftAds# #Advertising# #MachineLearning# #LLM #MicrosoftAI

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .