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You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives. Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Lead Machine Learning Engineer. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Proven experience as a Machine Learning Engineer or similar role. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
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About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively. Experience with big data systems in production: eg, Spark, Pinot, Presto.
$135,150 - $278,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Description Role: Sr. Machine Learning Engineer, Generative AI Applications Duration: 12+ Months on C2C Location: Remote, EST, can be US or Canada based Experience: 15+ Years • Actively contribute to and re-use community best practices.
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Partner with teams of data scientists, machine learning engineers and software reliability experts to deploy custom large language, sequence, graph and traditional machine learning models.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Develop production machine learning solutions batch and realtime to provide the world class merchant experience.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
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The candidate will have the opportunity work on a wide range of use cases from simple customer facing data APIs to large scale machine learning models. Strong experience with scalable data processing engines: e.g. BigQuery, Presto, Snowflake, Spark etc.
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As a senior machine learning engineer in the ads targeting core team, you will execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with data and ML-driven solutions.
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F1-OPT Junior Machine Learning Engineer (1-year experience, remote – US/Canada Only) As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
$150Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams such as Data Scientists, Product Partners and Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI.
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Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. As a machine learning serving 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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