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6+ years of experience in machine learning, data analysis, or a related field. Strong knowledge of machine learning algorithms and data analysis techniques. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects.
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Today, over 500,000 developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We're increasingly using Docker (both internally and for customer facing products like our edge inference server.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Anatomy Learning Center (ALC) Technician applies acquired skills, processes, and policy knowledge to support the Center manager, faculty, and professional health education learners to streamline operations, including the preparation and coordination of: teaching and leaning activities, cadaveric materials, program cirriculums, learner interfacing, a clean and compliant Biosafety Level 2 (BSL-2) laboratory, and inventory managment.
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Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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The MosaicAI Runtime team develops and maintains the LLM Foundry, Composer, and StreamingDatasets open source projects, which power deep learning training for Databricks customers and MosaicAI Research.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Partner directly with the Cash App Trust org, working closely with product, operations, engineers, legal and compliance, and machine learning teams. Learning and Development resources. The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally. Exposure to AI, Deep Learning, Neural Networks, NLP.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Modeling: Design, build and improve machine learning models. Proven experience building machine learning solutions. Familiarity with data platforms and applications such as Databricks, Jupyter , Snowflake, Airflow, Github.
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You will work with partners in legal, compliance, operations, finance, data analytics and engineering, product and other teams, to ensure that Block is compliant with applicable requirements and obligations while, to the extent possible, streamlining regulatory impact and facilitating innovation.
$152,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A team of experts in social-emotional learning, physical activity, education landscape, and ed-tech platforms guides us. We collaborate closely with schools to provide comprehensive programs infused with social-emotional learning (SEL.
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learning source jobs Title: data Company: Md Anderson in Oakland, CA
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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Why Cover Letters Are Important & How To Write One | Job\Searcher
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Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.