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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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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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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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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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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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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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We leverage advanced techniques in generative AI, LLMs, machine learning, and cloud platforms to streamline, automate, and optimize how Figure operates. Experience using web services (GCP, AWS), and distributed data/computing tools (Ray, Spark, Map/Reduce, Hadoop, Hive, etc.
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A minimum of 5 years experience writing production-level code as a software/data engineer, with at least 2+ years of professional experience building product features and leveraging machine learning to external-facing users.
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Work closely with the Data Science team to take machine learning based solutions from proof-of-concept/prototype to production (following the right engineering techniques) related to our real-time advertiser and publisher pricing systems developed in Python.
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Solid understanding of machine learning life cycle, data mining, and ETL techniques. 3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
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Data Engineer with Machine Learning. We specialize in web/mobile solutions, Artificial Intelligence, Machine Learning, Data Analytics, and Cloud Computing. Experience with Machine Learning and understanding of statistical models.
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machine learning spark jobs Title: engineer machine learning in Newark, NJ
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