We are looking for a passionate and experienced software engineer to join our team in San Francisco. As a Sr/Staff Software Engineer working on information retrieval, machine learning, and natural language processing, you will be building our next generation content understanding, recommendation, and response prediction algorithms and models that power content relevance algorithms.
Key Responsibilities:
• Design and develop algorithms, models, and pipelines that power content recommendations based on Machine Learning and Natural Language Processing (NLP) techniques and consume data inferred from member profiles, user generated content, and behavioural data.
• Interact and work with teams located in multiple sites.
Requirements:
• Masters Degree in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or related discipline.
• Expertise in one or more of the following domains: recommender systems, machine learning, information retrieval, information extraction (POS, N/E tagging with HMMs/CRF etc), feature extraction, text classification, etc
• Solid experience in Java, C++, or another object-oriented language.
• D. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, or related discipline.
• Worked with web-scale traffic and data.
• Experience solving big data problems using clustered computing systems, such as MapReduce, Dataflow, Hadoop/Cosmos/Spark, Lucene/SOLR, Storm/Samza, etc. Think terabytes to petabytes of data.
• Published work in academic conferences or industry circles.
About Us: We are a technology company that transforms lives through innovative products and technology.
