What if your job description were simply “make tomorrow better?” Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what’s come before to create what’s next. We help shape the future and we empower billions of people around the globe.

We are the computational advertising team in the AI & Research organization at Microsoft. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries.

Responsibilities

We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to machine learning, deep learning, natural language processing, image understanding, optimization, information retrieval, auction theory, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi-objective optimization, and a number of other ML-driven business problems. You will design, implement, analyze, tune complex algorithms utilizing signals from ML systems to meet advertiser objectives in a dynamic marketplace. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing optimization techniques and machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.

Qualifications

• MS/BS in CS/EE, mathematical optimization or machine learning related disciplines, with 3 or more years of experience
• Solid understanding of probability, statistics, optimization, machine learning (especially reinforcement learning), data science
• A/B testing & analysis of ML models, and optimizing models for accuracy
• Experience with Hadoop, Spark, or other distributed computing systems for building large-scale production systems is a plus.
• End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
• Experience implementing optimization techniques and machine learning algorithms from research papers from scratch
• Experience with TensorFlow/PyTorch and deep learning models is a plus

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.