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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution. Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services.
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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.
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Desire or experience working with Fintech, Regtech, Blockchain, machine learning, data science, and virtual currencies. Help us solve these challenging problems with data science, machine learning and efficient tooling.
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Robust knowledge of computer applications, such as Microsoft Office Suite (Word, Excel and Outlook) and related information systems (Radiology (RIS), laboratory (LIS), electronic health records (EHR), EPIC, and picture archive and communication system (PACS.
$75.5 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Passion for Artificial Intelligence, Predictive Analytics, and Machine Learning technologies is a core requirement. Experience with Gen AI, LLMs, Predictive Analytics and Machine learning landscape is a huge plus.
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If a location of interest is not listed, please speak with a recruiter for additional information. While there is no specific deadline to apply for this role, on average, open roles are posted for 70 days before being filled by a successful candidate.
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Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) Oversee clients digital transformations, help them simplify workflows, and find new revenue streams (FinTech apps, blockchain technology, virtual and augmented reality.
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Our merchants can easily keep their schedules open and attract new business—even when they're done for the day. Learning and Development resources. While there is no specific deadline to apply for this role, on average, U.S. open roles are posted for 70 days before being filled by a successful candidate.
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General knowledge of computer applications, such as Microsoft Office Suite (Word, Excel and Outlook) and related information systems (Radiology (RIS), laboratory (LIS), electronic health records (EHR), EPIC, and picture archive and communication system (PACS.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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Lead Machine Learning Engineer. Clearly documenting data models with source, description and field definitions for better collaboration, maintainability and usability. Instead of printed PDF applications and week-long waits, Vouch is building new technology to solve real problems, writing policies that actually cover relevant startup scenarios, and designing simple experiences in an otherwise frustrating industry.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. TeachFX uses AI to show educators personalized insights about the learning dynamics in their classroom, helping them understand which of their instructional practices are making the greatest positive impact on student engagement and equity.
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