Senior Data and Applied Scientist - Computational Search Advertising

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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. We are a team of applied scientists working on machine learning components in the whole sponsored search stack.

Our work covers ad selection (IR, NLP, deep learning), relevance & click prediction (large scale regression, ranking, discriminative models, recommender systems, ensembles),? auction mechanism design,? marketplace optimization (large-scale multi-objective optimization), ad quality and policy enforcement (ML in adversarial settings), and a number of other ML-driven solutions.

Responsibilities

• You will design, implement, analyze and tune complex algorithms and ML models operating on large datasets in collaboration with top scientists and engineers across Microsoft’s global R&D team.
• We combine cutting-edge research with direct business impact -- our work is published in top tier conferences alongside delivering healthy business growth. We're looking for solid theoretical fundamentals, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting complex machine learning models in large scale systems.

Qualifications

• Phd/MS in a machine-learning related area, with 5 or more years of experience
• Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
• Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Information Retrieval, Natural Language Understanding, Computer Vision, Machine Learning.
• Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products. 
• Proficiency in Python/C++ and deep learning frameworks e.g. Pytorch, Tensorflow. 
• Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
• Published work in top-tier conferences & journals 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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Benefits and Perks

• Industry leading healthcare
• Savings and investments
• Giving programs
• Educational resources
• Maternity and paternity leave
• Opportunities to network and connect
• Discounts on products and services
• Generous time away