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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. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$222,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Excellent debugging, analytical and problem-solving skillsA deep understanding of machine learning foundations and can develop technical solutions for new problemsNice to have:Experience working with cloud data processing technologies (Apache Spark, ElasticSearch, Presto, SQL, etc.
$65,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - 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. If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores) Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars.
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Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
$230,000 - $250,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Offline Processing systems like Apache Spark, Pig, Hadoop or others. Experience with neural deep learning methods and machine learning. Experience with enterprise-search platforms such as Apache Solr, Elastic.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Distributed data processing in Hadoop, Spark, BigQuery, or Apache Beam. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Experience with big data technologies such as Apache Spark or Hadoop Preferred. Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficient in using any of the following open-source tools: TensorFlow, PyTorch, Scikit-Learn, Keras, Apache Spark, and Caffe. - Apply the state of art machine learning and deep learning technologies to analyze the APP experience of TikTok Users and develop algorithms to provide the best experiences for users.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with machine learning or data processing frameworks, such as Spark, Nvidia Triton Server etc. Hands-on experience and strong understanding of Kubernetes environments, including scheduler Apache YuniKorn or Kueue, orchestration tooling Helm, app deployment, RBAC, ingress, etc.
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. 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.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP. Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event pipelines/ingestion for insight into active threat trends and related analytics.
$150,000 - $250,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 11 days ago
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