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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide delivery oversight.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Experience in two or more applicable data science disciplines: statistical modeling, machine learning, data mining, time series data analysis, or data engineering.
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Design, collect data, analyze, and compile reports on dry etch process development and hardware implementation. As a Staff Process Engineer within our Optical Process Engineering team, you will directly contribute to our light-field technology by deploying new processes into our eyepiece manufacturing flow.
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BitGo is the leader in digital asset financial services, providing institutional investors with liquidity, custody, and security solutions. Experience maintaining an entire SIEM stack; preference for open source and in-house solutions.
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Relevant industry experience is important (Site Reliability Engineer, Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, or similar role), but ultimately less so than your demonstrated abilities and attitude.
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Working with our Big Data, Ad Serving, and Product Managers, you will apply Machine Learning to create POCs (Proofs of Concept). PubMatic is immediately hiring a Sr. Principal Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule.
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Primary responsibilities include executing test plans, updating test reports, debugging and writing defect reports, verifying fixes, developing test automation scripts, and building automation solutions.
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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.
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Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous driving. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
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A good grasp of fundamentals of circuit and electromagnetics theory including frequency and time domain analysis techniques, transmission line theory, termination techniques, generating and interpreting data-eye diagrams, bathtub curves with NRZ and PAM4 signaling techniques.
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Data Center infrastructure solutions: Cisco (R&S), Palo Alto (NGFW + IDS/IPS functions), Infoblox (DDI), Cisco ISE, also implemented on Cisco products. Apply locations Remote Nationwide time type Full time posted on Posted Today job requisition id R-333216 The Senior Cloud Solutions Engineer (Network) develops and evaluates cloud network performance criteria and measurement methods.
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As a senior machine learning engineer at Health at Scale, you will work with an exceptional team of engineers, scientists, and clinicians to design, engineer, test, deploy and maintain machine intelligence platforms and applications for real-world production use.
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The Aeromechanical team at Pivotal is looking for an Aerodynamics Engineer to join our dynamic and innovative team. Detailed knowledge of mechanical design, surfacing, simplification, and data management within CAD software, preferablywith CATIA V5/V6 in 3DX platform.
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We are seeking an experienced HSM firmware engineer with expertise in Multisignature (Multisig) and Multi-Party Computation (MPC) to join our team. The ideal candidate will have a strong experience in designing and implementing cryptographic solutions for enterprise-level systems in programming languages such as C, C.
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big data machine learning solutions engineer jobs Title: machine learning engineer infrastructure in Palo Alto, CA
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