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Senior Applied Scientist-Ads

Multiple Locations, United States (On-site)

Senior Applied Scientist-Ads

1 Hour ago • 1-4 Years • Artificial Intelligence

About the job

3 skills required for this role

Add these skills to join the top 1% applicants for this job

computer-vision

data-science

data-analytics

Job Description

Microsoft Audience Network (MSAN) seeks a Senior Applied Scientist-Ads to create and enhance machine learning technologies in NLP, CV, and LLMs for an ads recommender system. This role involves solving problems related to ad selection and ranking within a dynamic team. Responsibilities include design, implementation, and execution of data science and machine learning features, driving innovations in analytics applications, retrieval, ranking, and NLP/CV models. The ideal candidate possesses strong skills in machine learning, data science, and relevant experience in developing end-to-end analytics solutions or ML systems. Experience with large-scale data processing and familiarity with computational advertising is beneficial.

Must have:

Bachelor's/Master's/PhD in relevant field
4+ years experience (depending on degree)
Experience in NLP, CV, and LLMs
Machine learning model development
Ad selection and ranking experience

Good to have:

PhD with research experience
Publications at peer-reviewed conferences
End-to-end analytics solution development
Experience with large-scale data processing

Perks:

Industry-leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

Microsoft Audience Network (MSAN) part of the Microsoft AI (Artificial Intelligence) is seeking a Senior Applied Scientist-Ads.

This role is available in Redmond, WA or Mountain View, CA.

This is an exceptional opportunity to apply your advanced skills in one of the fastest-growing businesses, to solve real-world problems on a scale. Our goal at MSAN is to maximize value for users and advertisers through our platform.

As the Senior Applied Scientist, you will specialize in creating and enhancing machine learning technologies in areas such as Natural Language Processing (NLP) , Computer Vision(CV), and large language models(LLM). You will be a key player within a dynamic team, contributing to and collaborating with other talented colleagues on cutting-edge machine learning challenges from a real ads recommender system.

In this role you will have the opportunity to solve for problems related to Ads selection and Ads ranking.

Computational Advertising has emerged as a new interdisciplinary field encompassing information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to address the complex problems inherent in online advertising. The exponential growth of online advertising offers immense opportunities. At Microsoft, we are constantly challenging ourselves, infusing curiosity and imagination to reshape the realm of possibilities. We innovate in machine intelligence, data analytics, big data, and distributed systems, creating the future with a customer-focused mindset.

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.

Qualifications

Required Qualifications:

Bachelor's Degree in 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 Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience

Preferred Qualifications:

PhD with research experience in data science, machine learning and/or related fields.
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:

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

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

Responsibilities

Participate in design, implementation, and execution across a variety of features regarding data science and machine learning.
Drive innovations in analytics applications, retrieval, ranking and generic Natural Language Processing (NLP), Computer Vision (CV) models used in an ads recommender systems.

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