Software Engineer - Data
Location: US, CA, San Francisco
Department: Engineering
Employment type: Full-time
Function: Engineering
Company profile: Premise is building a novel information-gathering network on a global scale. The network harnesses the explosion in mobile technology, combined with sophisticated machine learning capabilities, to aggregate observations from users all around the world to deliver business, economic and human development data in real-time. We are growing the platform to sufficient scale where it will deliver any user-observable information on demand, whether that is the price of food staples at a Mumbai street market, or the length of a queue at a Walmart de México parking lot.We’re a fast-growing startup -- bolstered by the backing of significant ‘smart money,’ but still young enough such that you’ll be a core member of the team that is reinventing how the human race understands its own economic activity. We’re being helped in our mission by Silicon Valley’s most creative and disruptive investors: Social+Capital Partnership, Google Ventures, Andreessen Horowitz and Harrison Metal.Bottom line, this is an opportunity for someone who (1) wants to build something meaningful at a fast-growing and mission-driven startup, (2) wants to contribute to the amazing, messy evolution of the open-source ecosystem, and (3) actually cares about social good enough to make Premise a permanent part of their resume.Read more about Premise * TechCrunch: #URL_381f76dfce96ab77e6fe5181ebb500e6c1bcba003861c737f3c721b47d9a2b17# * New York Times:#URL_faf9a8fdc4802642fd81e7b36325164b67f939328bd86c959018f1db1d4ec784#?hpw&rref=business&_r=1& * Wired: #URL_b80f608b08c2ba4ae61aa641ed4d73de557d09c00692ceba27a5cf8c44a6bf96# * The New Yorker:#URL_42671b5464823a632cd07ad33ae34c9d33d88a4f36aefcb6aadc87e40f9b6e16# * The Atlantic:#URL_ff8989377bd24ee8d51289196a427f4ddcbebccf08409ba4f2944721192e671d# * MIT Technology Review:#URL_78f5a144ee0c4e1f2fa86473817f5623350989c3c7d0493d5e71157aa5f7380d#
Description: ResponsibilitiesBuild data pipelines that analyze web content as well as user activity to drive features ranging from user-engagement, user-retention, notifications, targeting, geo-spatial applications, A/B-experimentation, cohort/session analyticsBuild & launch algorithms to extract signals from data, develop recommenders, extract entities, generate product taxonomy, detect sentiment, improve search relevance and generate user preferencesBuild & launch algorithms for time-series analysis, anomaly detection, analyze media, generate indices based on econometric modelsOwn release and quality assurance of data sets, including QA/side-by-side eval & pipeline metrics
Requirements: Required QualificationsExperience developing, releasing, and maintaining search/knowledge/data-mining applications (send us links to your projects)BS, MS or PhD in Computer Science or equivalent work experience & analytical skills2+ years of experience in developing applications using one or more of: Java, Python, ScalaDeep understanding of Data Structures, Algorithms, Machine Learning, Statistical MethodsWorking knowledge of at least two of: MySQL, Redis, Hadoop/Spark, MongoDB, Protocol Buffers/Avro, Play FrameworkPassion for learning and sharing knowledge with the team around youBonus QualificationsExperience building consumer/marketplace productsExperience with one or more of NLP toolkits (Lucene, Solr/ElasticSearch, NLTK, Hadoop/Cascading/Scalding, Apache Tika)  Experience with graph databases & computing models (Neo4j, Gigraph, Titan)Passion for creating products; personal projects or other work (send us links to your GitHub repos)
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