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We're looking for an enthusiastic and experienced Machine Learning Engineer that will help us leverage AI to build impactful tools for across Block, with a focus on engineering velocity.
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As part of the Machine Learning Engineering Identity team, you will play a critical part in utilizing machine learning methods and systems to reduce the prevalence of inauthentic identities within Cash's ecosystem.
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Collaborate with machine learning and data scientists to identify and resolve requirements in order to improve the training cost and turnaround time on the ML platform. Monitor machine learning platform performance and modify infrastructure to fit fluid cloud resource needs.
$250,900 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Summary: Mosaic AI is hiring experienced machine learning platform engineers to build out our generative AI platform for the ML model development lifecycle including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving.
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Be our first Machine Learning Systems Engineer, with an opportunity to own the deployment of major initiatives. As a Senior Machine Learning Systems Engineer on Sentry’s AI/ML team, you’ll be directly responsible for building the core infrastructure used to develop, evaluate, deploy, iterate on models and pipelines at scale.
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4+ years of background in AI, Machine Learning, and Data Science. Clari's Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals.
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Faire is searching for a top-notch staff engineer to lead design and execution as we continue to build our machine learning platform that will power our wholesale marketplace.
$288,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Mosaic AI is hiring experienced machine learning platform engineers to build out our generative AI platform for the ML model development lifecycle including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving.
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As a Senior Platform Engineer, Machine Learning, you'll be responsible for building and maintaining the infrastructure that powers our ML solutions in the audit and advisory industry.
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We are bringing on a talented Machine Learning Engineer to help us improve the operational efficiency of DoorDash's three-sided marketplace of consumers, merchants, and dashers. As a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems.
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Databricks is hiring a Senior Staff Machine Learning Engineer to play a key role in building our Generative AI platform and products, and in developing our team of software engineers.
$313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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M.S. and 3+ or PhD. and 1+ year(s) experience of developing advanced statistical and machine learning models in production. Deep understanding of complex systems such as Marketplaces, and domain knowledge in two or more of the following: Machine Learning, Causal Inference, Operations Research, Forecasting.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You have a strong understanding of deep learning AI/ML frameworks or cloud services. Create and maintain a platform that will be used by multiple teams working on ML products, ensuring its scalability, efficiency, and user-friendliness.
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The Machine Learning Platform (MLP) at Discord is responsible for the end-to-end model lifecycle across all ML applications. We sit at the intersection of machine learning engineers (MLEs), core infrastructure, and ML consumers to provide tools, capabilities, and services that make machine learning easy, safe, and widely accessible.
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5+ years industry experience with a focus on ML infra/platform (building core frameworks modelers use to deploy deep learning models at scale) with a strong academic foundation in computer science.
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Title: machine learning engineer platform in San Francisco, Sherwood, Oregon
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