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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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Retail, Financial Services, Manufacturing, Technology, Artificial Intelligence, Machine Learning, Data Analysis, Healthcare, Natural Language Processing, Speech Recognition.
$200,000 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
$124,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Skills: Model Engineer, Artificial Intelligence, Machine Learning, Data Engineering, Deep Learning Frameworks, Debug, Optimize, Autonomous Vehicles, Functional Programming, Neural Networks, CNNs, DNNs, RNNs, GANs.
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar.
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4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. Optimize data processing and query performance for large-scale datasets within Azure and Databricks environments.
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FinTech, CTO's, CEO's, VC, Artificial Intelligence, Machine Learning, NLP, DevOps, Blockchain, Staffing, Recruitment, Consulting, CIO's, Java, Golang, Ruby, Scala, Hadoop, Docker, Kubernetes, AWS, Cloud, CFO's, financial technology, and nodejs.
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5+ years of experience as a Machine Learning engineer building production-level pre/post-processing data pipelines for ML/DL modelExperience in statistical analysis & visualization on datasets using SQL, Pandas or R.
$160,000 - $280,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More Full Time Jobs Lead Machine Learning Engineer Mountain View. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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Familiarity with Artificial Intelligence/ Machine Learning, Robotics Process Automation and Blockchain and their impact on the regulatory environment. In addition, our team manages, automates, analyzes and visualizes data using data transformation and visualization tools to support process improvement initiatives.
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Scale cutting-edge model techniques to Cash App’s huge volume of data. 5+ years experience with applied Machine Learning or Deep Learning. Machine Learning is at the heart of our automation approach, and we are looking for a senior modeler to lead our automation efforts across new Support surfaces.
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Working closely with our data engineering team, you'll design an implement an enterprise-grade machine learning infrastructure focused on credit risk modeling and fraud detection based on blockchain data.
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