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We are looking for a senior software engineer to create distributed systems and platforms to transform and model data, and create tools and machine learning pipelines to make machine learning, statistical and econometrics models run faster.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineer with Machine Learning (ML), you will support new and existing projects in the areas of Generative AI in BigQuery, with a focus on building evaluation frameworks for new ML capabilities.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or SQL; familiarity with big data technologies (e.g., Hadoop) Strong background in statistical analysis, machine learning, and predictive modeling.
$231,220 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Stay up-to-date with the latest advancements in machine learning, data engineering, and related fields. Collaborate with data scientists, software engineers, and stakeholders to identify and prioritize data engineering and machine learning projects.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Required Skills : MUST HAVES: - Java - Previous Data Engineering / Machine Learning expereince - RESTFUL Webservices - Spring boot. 2+ years of experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, HBase.
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Experience with Big data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). Experience building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks.
$214,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands-on experience on developing computer vision and machine learning algorithms with focus on at least two of the following areas: autonomous driving, object detection/segmentation, 3D scene understanding, path predication & planning, localization, and sensor fusion.
$66 an hourInternExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionization to visualization. Experience working with Apache Airflow or equivalent workflow orchestration for big-data pipelines is a plus.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$247,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets. As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Good understanding of large-scale engineering systems and some or all of big data technologies like Hadoop, Spark, Machine Learning, distributed key-value stores, streaming processes, workflow scheduler, recommender systems, statistical methods, experimental design.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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CrowdStrike’s CTO Labs team works at the exciting intersection of Artificial Intelligence and Machine Learning, Big Data, and Security. We are a diverse and multidisciplinary team, and you’ll have the chance to broaden your horizons by working jointly with a team of Big Data, Machine Learning, and Security domain experts on hard and impactful problems.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We leverage cutting-edge technologies such as big data, machine learning, AI, real-time analytics, and high-volume, low-latency, high-availability services to achieve these goals.
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