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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. You will also directly impact our key success metrics via building machine learning solutions and risk detection rule development and deployment.
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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Support AAG leadership in extending and growing our machine learning, engineering and analytics capabilities.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Dyne has a broad pipeline for serious muscle diseases, including clinical programs for myotonic dystrophy type 1 (DM1) and Duchenne muscular dystrophy (DMD), and a preclinical program for facioscapulohumeral muscular dystrophy (FSHD.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc. A minimum of 2 years of industry or research experience in signal processing and/or machine learning.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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Using advanced machine learning and state-of-the-art non-invasive robotics, the team aims to communicate with these majestic creatures. Our core tenets are educating broad-minded students; interdisciplinary research; integration across disciplines; and balancing theory, experimentation and practice to create an unmatched environment for learning and exploration.
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As a Research Engineer in Science, you'll be a part of the research department, The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
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Publications or contributions to the machine learning community or open-source healthcare projects. Master's degree in software engineering, computer science or a related technical field with significant course or project work in machine learning, artificial intelligence, or data science.
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Optimize machine learning model implementations and inference timesWork withTFLite, SNPE, or other embedded deep learning libraries Quantize and tune model architecture, speed, and performance whilemaintainingtask performance Participate in rigorous benchmarking and analysis across model classes Deploy to mobile hardware running Android.
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We are seeking a dedicated and experienced individual to develop a comprehensive training program for volunteers with a focus on trauma-informed practices and social emotional learning for children and families experiencing homelessness.
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This 6-month co-op will focus on the evaluation of machine learning algorithms to monitor a. Knowledge of multivariate modeling methods including machine learning algorithms and deep learning methods.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
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machine learning open source jobs Title: technical program in Boston, MA
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