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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in one or more of the following: Cloud infrastructure, software as a service, big data, security and privacy, development and operations, or artificial intelligence/machine learning.
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Experience with big data & emerging technologies (Spark, Elasticsearch, Kafka, etc.) Machine Learning & Natural Language Processing (Data Science) Engineer InternLocation: Palo Alto, CAThe successful candidate will work with world-class data scientists and ML engineers on expanding the AI capabilities of Intapp products.
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Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Summary As a platform engineer intern, you will learn how to build a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms.
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Your duties also involve design and implementation of software for acquiring images from Framegrabber data and camera systems; software for camera control and manipulation of such images including various image processing functions; developing a user-friendly GUI for microscope-based systems.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Predictive Segments team, part of the Forecasting and Optimization from our client, is responsible for machine learning based advertising targeting products and supporting machine learning platforms which are responsible for driving performance of advertising campaigns managed by One DSP. The team, leveraging the cutting edge technologies and rich data, is building realtime big data and machine learning platform offering audience segmentation products.
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Willing to work onsite in our Palo Alto, CA HQ with 10-15% travelAbout RhombusRhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare.
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Job Description Job Title: Big Data Platform Staff Engineer Duration: 6 Months Location: Santa Clara, CA Job Description: As a core developer, you will be part of the team that focuses on the next generation Clients’ Big Data Platform.
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Our cloud infrastructure is home to a series of massive and complicated distributed systems and virtualization software platforms which enable big data processing around security services, sandboxing and malware detection, URL categorization and malicious site/domain identification, and security research/response.
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We use ideas from every facet of computer science including distributed computing, large-scale design, service oriented architecture, networking, big data processing, machine learning, and artificial intelligence.
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Experience with Big Data and technologies such as Hadoop, MapReduce, Spark, Hive. Preferred/Nice-To-Have Experience:Up-to-date on the state-of-the-art topics related to Machine Learning, Recommendation Systems (NIPS, KDD, RecSys.
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Experience in analytics as it relates to Business Intelligence, Big Data Warehousing, Data Modeling, Data Integration, Data Governance, Data Observability tools.
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Big Data Software Engineer Mandatory SkillsFamiliar with data mining, predictive models, and handling real-time data flows. Big Data Software Engineer Assignment Length7+ monthsAdditional InformationAll your information will be kept confidential according to EEO guidelines.
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Staff Engineer: Back-endAs a Staff Engineer working on the Anvilogic platform team you will be an integral part of the group building out the back end of the detection automation platform, attack detection analytics and machine learning operations using the most effective big data solutions.
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Strong data ingestion fundamentals and meaningful contribution in the area of streaming pipelines and handling high volumes of data Strong testing ethos and knowledge of best practices, including code quality, accessibility, performance, and security Strong candidates may also have experience with some of the following: Exposure to big data frameworks like Spark, Kafka, etc.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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