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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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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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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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Dana-Farber offers a variety of personal, professional, and leadership development opportunities to all members of its workforce through Division of Philanthropy offers 75+ specialized professional development sessions designed for staff each year through its in-house learning program, the Center for Advancement Training.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Experiment with machine learning tools to develop data-driven solutions. 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.
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This role will lead solutioning and implementation of data and integration needs of digital & omni-channel platforms at BCBSMA This role will work closely with other technology partners to build highly available, scalable and distributed data platforms using open source frameworks to process high volume, high velocity, and wide variety of structured and unstructured data.
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We are seeking a director of engineering with outstanding leadership and management qualities, as well as a clear vision for the future of the open source desktop. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Strong knowledge of developing highly scalable distributed systems using Open-source technologies. You are familiar with applied data science methods, feature engineering and machine learning algorithms.
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Become an expert in multiple technical areas of the team, a representative and champion for the team, and a source of insights and wisdom. 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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And deep learning frameworks (tensorflow, pytorch) Basic understanding of machine learning/deep learning. The software engineer will work in a general office environment alongside MGH/Harvard/MIT faculty, postdoctoral fellows, data analysts, research technicians, and students.
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Experience in applying ML techniques and/or deep learning to one or more of the following: omics data analysis, binder design, building knowledge bases etc. Expertise in at least one deep learning library - PyTorch, Tensorflow, JAX, keras required.
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Experiment with various deep learning architectures, hyperparameters, and data augmentation techniques to improve model performance. Publications or contributions to open-source projects related to transformer architectures, vector databases, or language models/ natural language processing are a strong advantage.
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Analyzes data in open source platforms including in R. Processing plant and soil samples for pigment and nutrient analyses using a variety of techniques including high pressure liquid chromatography (HPLC) and other analytical methods.
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Reporting to he Associate Vice Provost - Academic Space Planning, the 1) will catalyze a design thinking and entrepreneurship culture, while creating a safe and welcoming transdisciplinary teaching and learning environment for the Northeastern community.
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deep learning open source jobs Title: data scientist Company: Md Anderson in Boston, MA
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