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Senior External Reporting Technical AccountantCerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozen
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Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. As a Data Scientist / Data Analyst / Data Science Specialist for Ad
Strong experience in Machine Learning, with emphasis on LLMs, Generative AI, or large-scale deep learning systems. We're an applied Machine Learning team that leverages state-of-the-art technologies-Generative AI, Large Language Models, RAG based systems, and emerging agentic AI patterns-to deliver
Expertise in databases, data infrastructure, data governance. The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate gr
Simplot - - Responsibilities: Operate fertilizer truck, fill application equipment, and support plant operations as needed; May assist with recordkeeping related to warehouse/inventory responsibiliti
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Radiology / Cardiology$3309.80 to $3495.00 weekly13 Weeks5x8-Hour 08:00 - 16:301 OpeningStart Date: 05-11-20261 year experienceARRT M, BLSDiagnostic Mammograms, Digital Mammography, Hologic 3D, Screen
We are looking for an exceptional candidate to help architect the future of localizing and scaling Machine Learning models and datasets. Hands-on experience developing end to end machine learning systems: defining and creating metrics and datasets, training models and performing error triaging. Expe
As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, a
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Sr. Analyst, Implementation Customer SuccessSan Francisco, CaliforniaWhat We DoAscend is transforming the $10T global insurance industry by combining AI automation with embedded fintech.While insuran
The ideal candidate will evaluate machine learning models and apply statistical analysis to validate changes while building backend infrastructure for map data. Computer Science or a related field with over three years of experience in data processing frameworks.
Knowledge of metric design, experimentation methodologies, and large-scale data analysis. Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience. Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addre
You will have responsibilities ranging from machine learning for data exploration, advanced statistical modeling, tuning and adapting deep learning models, and evaluating their performance. Hands-on experience developing machine learning systems: defining and creating metrics and datasets, training
Accounting ManagerDreisbach has been serving our customers with the pride and integrity of a family-owned company for over 50 years. The tradition of excellence that was started by the company's found
Salary Range USD $553,615.00 - USD $625,261.00 /Yr.Opportunity InformationSutter East Bay Medical Group (SEBMG) is seeking to a hire a full time Cardiologist physician to join a collaborative group of
We are accepting applications for personnel to take part in local and nationwide paid studies.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scie
Machine Learning Data Scientists. Ability to use Python/PySpark for exploratory data analysis and modeling. Experience in modern deep learning architectures and probabilistic models.