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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 1 month ago - UpvoteDownvoteShare Job
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Experience Required: Experience with Google Cloud Platform cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, and Pub/Sub. Experience in delivering software products using an iterative approach Experience in end to end cycle of software development Familiarity with big data and machine learning tools and platforms.
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Are you interested in joining a group of highly talented engineers working on a open source project that is solving challenging problems across big data analytics, machine learning and artificial intelligence.
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Dive into internals of open-source machine learning frameworks to enhance their functionality. With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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As customers continuously push the envelope for ways to extract value from data, Alluxio is driving innovation in data access and management for large scale distributed systems. As a backend engineer at Alluxio you will be responsible for designing and implementing infrastructure for our state-of-the-art product.
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Staff Software Engineer - Data Warehouse and Pipelines, Big Data, Data Platform. To provide a missing pillar of core internet infrastructure, we hire people with a broad set of technical skills (and from a wide variety of backgrounds) who are ready to take on some of the most challenging problems in the industry from reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling entrepreneurs worldwide to start a global internet business.
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Enterprise Software, Technology, Artificial Intelligence, Software Development, Machine Learning, Data Analytics, Cloud Computing, Data Management, Big Data, AI.
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The ideal candidates will have 3+ years of software development experience in a research setting, demonstrated success in deploying production software including containerization, proficiency in high-performance computing using MPI and CUDA, and experience with machine learning, big data analytics, and mathematical modeling.
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Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data. Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
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From reliably handling 100M API requests per day, to building adaptive machine learning as a result of years of data science and infrastructure work, and enabling entrepreneurs worldwide to start a global internet business.
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The AWS DBS EMR organization is doing innovative work on these open source data processing frameworks with the goal of making EMR the best place to run big data workloads.
$115,000 - $223,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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Data. Machine Learning.) Utilize programming languages like Java, Python, and SQL, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Software Engineer, Back End - Finance Tech.
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