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Research Scientist
Yahoo!
Sunnyvale, CA, United States
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Description
Research Scientist - Yahoo Knowledge Graph
About Us
Every day, Yahoo serves millions of users with the information they need, continuously rethinking Personalized Search and Content Discovery.
Within Yahoo, the Knowledge Graph team is responsible for building and serving the Yahoo Knowledge Graph: a rich unified knowledge base of millions of interconnected entities and billions of facts that powers knowledge-based services at Yahoo.
As a team of research scientists and engineers, we develop the core science, technologies, and end-to-end solutions for extracting, integrating, enriching, and searching information about entities. Our work is innovative and impacts millions of users everyday.
About You
As a creative research scientist, you will play a critical role in the group and work on solving a broad set of Web scale, real-world, computer science problems in the field of Information Extraction, Information and Knowledge Management, and Information Retrieval.
Leveraging your scientific expertise, hands-on technical skills, and relevant data, you will be in charge of creating innovative solutions for a wide variety of interdependent problems: e.g. entity and fact extraction from the Web; schema matching; fact normalization; entity categorization; entity de-duplication; data fusion; entity ranking; knowledge-based question answering, etc.
Obviously your research will involve machine learning, data mining, and large-scale data processing. You will be encouraged to stay abreast of novel academic work and seek patents and publish work when appropriate.
Working across organizations in a fast and innovative market, you will understand business goals and constraints; communicate effectively with partners at each stage of a project; think abstractly to correlate problems, methodologies, and solutions; and be comfortable working in a constantly changing environment, with the ability to juggle and prioritize tasks to keep pace.
Your Day
Research challenging problems, deliver innovative solutions, and follow projects end-to-end:
• Scope and formulate ill-defined problems, propose metrics to measure issues / results
• Review existing approaches, explore new ones, make appropriate recommendations
• Prototype and evaluate solutions based on agreed-upon metrics
• Deliver effective and measurable end-to-end solutions
• Communicate effectively with partners and publish results
Must Have
• Ph.D. in Machine Learning, AI, Computer Science, or related field
• 3+ years of relevant experience in industry or academia
• Demonstrated expertise in machine learning and data mining
• Experience in information extraction, knowledge management, information retrieval, NLP
• Strong analytical & problem solving skills ; ability to execute independently
• Good communication skills ; ability to understand business requirements
• Passion for data and knowledge bases
Nice to Have
• Publications in reputed conferences and journals: e.g. CIKM, KDD, EMNLP...
• Hands-on experience with large-scale data processing (i.e. data/graph/web mining)
• Strong software engineering skills: algorithms, data structures, etc.
• Hands-on experience with Hadoop, Spark, Scala, Python, Java, Git, Linux, etc.