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You will work with the open source community to accelerate Apache Spark with GPUs for data science. 5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Solid experience with data pipeline tools and workflow engines, DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
$145,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. Senior ML Research Engineer, Apple Services Engineering - Search Science. The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our data science stack includes AWS EMR, Apache Spark (core, mllib, and streaming), Elasticsearch and raw Lucene, scikit-learn, and more. The data team is developing groundbreaking technology for legal document recommendation and search.
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Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. Experience with GCP Services - Familiarity with GCP services, particularly BigQuery for data warehousing and Composer for workflow management.
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5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. 5+ years experience working in a related system, including ecosystem, Apache Spark and database internal, database systems, data processing or related domains.
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Interpret and analyze results of Nucleic Acid QC, Real-time PCR, DNA Sequencing and Fragment Analysis data often where few guidelines exist and make modifications to existing procedures and protocols.
$68,000 a yearRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Support infrastructure components, data streaming frameworks and databases, such as Kubernetes, Flink, Storm, Spark, Kafka, Cassandra, Elasticsearch, Redis, Postgres, ArangoDB, and many others.
$102,400 - $140,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this pivotal role, you will have the opportunity to build foundational tools and data pipelines to ingest, normalize and clean the valuable data that would be fundamental for our ML engineers to build AI tools including recommendations, LLMs, ads, visual search, growth/notifications, trust and safety.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Preferred Area of Experience: Microsoft , Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
$70 - $90ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spark, Presto, Hive, Flink, Beam, AWS, Kubernetes, Scala, Java, Python, big data, data pipelines, Machine Learning. As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, and Hadoop.
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