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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects.
$200ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. You will utilize diverse machine learning and bioinformatic methods to perform downstream analysis and integrate omics, imaging, and human cohort data in order to extract insights about disease mechanisms.
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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 on an unprecedented scale.
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You will lead efforts to build machine learning models that predict disease from whole genome sequence data. Experience with PyTorch, JAX, TensorFlow or equivalent machine learning framework.
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Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
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Experience applying machine learning (in particular deep learning) to health data, time series problems or both. As a data scientist, you will be tackling time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver to new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
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5+ years of experience in applying and deploying ML models, especially in the domains of computer vision, 3D asset generation, or 3D animation generation, or a robust portfolio of projects that demonstrate your expertise in machine learning applied to 3D graphics, animation, motion capture, and/or computer vision.
$250ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. You will work as part of a cross-functional agile team that includes data scientists, machine learning engineers, software engineers, designers, and product managers.
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machine learning open source big data science jobs Company: Walmart in San Francisco, CA
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