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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As our first full time Staff Data Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice.
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CoreWeave builds cloud solutions for compute intensive use cases - VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming - that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising.
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Experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environmentPREFERRED QUALIFICATIONS- Experience in Python, Perl, or another scripting language- Experience in a ML or data scientist role with a large technology company.
$125,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with teams/stakeholders cross VP organizations to influence new product and data center design to ensure compatibility (Will focus on Machine Learning Products Primarily) As a Senior Technical Program Manager within this team focused on new product launch preparation (e.g. Machine Learning Products), you will work with cross-organizational teams from Services, Hardware Engineering, Network Engineering, Software development and Capacity Planning teams to prepare for new product end to end launch readiness with automation and operational process in place.
$133,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. The team also owns our Streaming Platform that is build using FlinkAs a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems.
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Job DescriptionThe Data Platform and AI team manages Nordstrom s data infrastructure and uses machine learning, statistical modeling, and deep analysis to solve some of the most critical problems that face JWN s customers and the organization.
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Use statistical and machine learning techniques to analyze complex data sets, identifying trends that will inform improvements in app stability and performance. 5+ years of data science experiments, with experience in highly technical roles, such as infrastructure, app performance, and complex ranking systems.
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Experience with machine learning and AI technologies applied to unstructured data. Prior experience with concepts like data contracts and infrastructure as code (IaC.
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Architect and deploy machine learning pipelines and infrastructure in AWS Sagemaker and Snowflake Snowpark. SoFi's Data Science team is seeking an experienced Senior Staff Data Scientist to help lead our machine learning efforts.
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With a specialization in compute-intensive applications such as VFX, rendering, machine learning, AI, batch processing, and Pixel Streaming, CoreWeave prides itself on its fastest and most flexible infrastructure.
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Additionally, proficiency in data engineering, machine learning, and data pipelines will be essential for success in this role. We are seeking a highly skilled Infrastructure Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads.
$110,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
$82,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Passion for collaboration, life-long learning, and driving our values through ML.
Full-timeExpandApply NowActive JobUpdated 26 days ago
infrastructure machine learning jobs Title: data in Seattle, Troy, New York
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