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The engineering team has won international math & physics olympiads, has experience at Google, Facebook, Slack, Quora, Scale AI, Bolt, Snap, Flexport, and other fast-growing startups. Our approach involves LLM embeddings, few-shot learning, data labeling, and continuous monitoring of model performance in prod.
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Technical proficiency in at least two of the following practices: coastal engineering, urban drainage systems, seismic structural engineering, marine structural engineering, seismic geotechnical engineering, civil engineering (utility and/or mobility systems), heavy civil engineering, and/or architecture/building systems.
$122,000 - $183,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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The role expects you to define your territory, strategies and then lead local execution and in alignment to company strategies and tactics with its Cloud Provider partnerships including, but not limited to, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Accenture and IBM.
$251,900 - $346,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Vendia's data automation cloud makes it easy to share data inside and outside of the organization in real time and with full visibility, governance, and control. Companies such as BMW, Delta Airlines, Resolution Life Insurance, and Fannie Mae use Vendia to automate contextual and compliant data flows between any-to-any systems for a harmonized, accurate view of data that unlocks speed, innovation, and cost savings.
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Proven experience in OOA/OOD.Experience with CI/CD pipeline implementation including GIT, Chef,Maven, Jenkins etcSolid understanding of modern Cloud platforms such as AWS, Google Cloud or MS Azure.
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The Data Trust and Quality group is a Data Engineering team that focuses on maintaining our analytics tools and developing solutions to our data pipeline integrity and efficiency.
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Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
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Load highlights to Warriors Google Drive during the course of the game. Audacy, Inc. (NYSE: AUD; OTC: AUDA) is a leading multi-platform audio content and entertainment company with the countrys best collection of local music, news and sports brands, a premium podcast creator, major event producer, and digital innovator.
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As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
$120,700 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The VP of Data Engineering will lead Tubi’s data teams including BI, data warehouse, data infrastructure and platform. The perfect candidate will have a proven track record of building, leading and scaling data engineering teams, mentoring leaders, strong data infrastructure and data architecture skills, strong operational skills, strong project management leadership skills and a vision on building data teams that improve companies.
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Experience working with Azure, AWS or Google Cloud Platform (GCP) Crafting large scale distributed systems and data processing experience. Your work with multi-functional teams-including Product Management, Data Science, and various technology departments-will not only bolster our operations but also shape the future of our digital advertising success.
$121,500 - $224,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Alchemy recently raised a Series C1 at a $10.2B valuation led by Lightspeed and Silver Lake. Previously, Alchemy raised from a16z, Coatue, Addition, Stanford University, Coinbase, the Chairman of Google, Charles Schwab, and the founders and executives of leading organizations.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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PhD or equivalent in Biochemistry, Molecular Biology, Protein Engineering or related field; MS / MA with 2-5 years of industry experience. Extensive skills in molecular biology and antibody engineering methods/best practices and applications.
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data engineering google cloud jobs Company: Capgemini in San Francisco, Boynton-beach, Florida
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