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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network.
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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. Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications.
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Research and develop state-of-the-art model compression techniques including QAT, model distillation, pruning, quantization, model binarization, and others for deep learning models. Hands-on experience in computer vision and deep learning frameworks, e.g., OpenCV, Tensorflow, Keras, Pytorch, and Caffe.
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Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets. Capitalizing on our Series A of $78M from top-tier investors, we are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle.
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Experience with open-source intelligence and social media analysis tools, including deep and dark web platforms; experience conducting advanced internet-based research using Boolean logic.
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Assist and Lead client engagements and workstreams related to Digital Intelligence, particularly open-source intelligence monitoring of security, operational, and reputational threats and emerging risks to Teneo clients.
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Geospatial Data Management: Collect, process, and manage geospatial data from various sources such as GPS, satellites, and geographic information systems (GIS), including proprietary formats used in ArcGIS and open-source formats.
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Strong foundation in Machine Learning (ML), Deep Learning, LLMs and NLP. Build on top of Open Source LLM (Large Language Models) to leverage a diverse dataset. In this senior-level role, you will own, train, build and deploy cutting edge deep learning models across all Eightfold products, end to end.
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Conduct analyses with open source (e.g., Python) and commercial products (e.g., Alteryx, AWS tools), identifying appropriate packages and tools. As a Data Scientist, you will derive insights from artificial intelligence, machine learning, and natural language processing to help ensure that the federal banking system is safe, sound, and fair.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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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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deep learning open source jobs Title: scientist Company: Md Anderson in Phenix-city, Alabama
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