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We’re looking for a Senior Technical Writer and Content Strategist to join our Technical Communications team at the Software Engineering Institute (SEI) to edit technical reports, write and edit content for the SEI website, and create and edit presentations.
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We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder).
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Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes). Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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They are a Pre-Seed company with good runway and they will be achieving their Seed round at the end of this year so getting in at this stage within a Machine Learning Engineer capacity will put you in a good position from an equity stand point.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Neural networks (Graph neural network), Deep learning & transformers (Temporal Fusion Transformer ), NLP, gradient boosting using open source machine learning frameworks – tensorflow, pytorch, XGBoost, LightbGM.
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To support AccuWeather's continued focus on innovation and generating superior weather products, we are seeking a highly skilled and experienced Machine Learning Engineer with proficiency in Databricks to join our innovative team.
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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. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Responsibilities Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. The Security Machine Learning squad is responsible for the design and development of online and offline machine learning (ML) features and models to detect malicious traffic and activity across the Identity Engineering platform using state of the art algorithms and tools.
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Preferred qualification participating in large-scale online machine learning platforms are preferred Good programming skills and a deep understanding of data structures and algorithms Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems Experience in anomaly detection area is a plus.
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As a Machine Learning Engineer you will work on developing, deploying, monitoring, optimizing and debugging our Machine Learning models, infrastructure and systems that are core to our industrial robotic solutions.
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You will contribute to and be part of an engaging, dynamic and inclusive engineering organization, grounded in scrum and agile practices, CI/CD, great collaboration, functional programming and motivated by a commitment to continuous learning and improvement.
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Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: D, Hulu, ESPN, and Parks. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney and Hulu, to ABC News and Entertainment, to ESPN and ESPN, and much more.
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Title: machine learning Company: Software Engineering Institute Carnegie Mellon University
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