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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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THE POSITIONThe Chief of Education & Learning (and Roberts-Wilson Dean of Education) will lead a world-class team of educators and serve as a member of the Academy’s Senior Leadership Team. This role oversees and builds upon the Academy’s extensive education programs, with a total team of ~80 staff and ~400 volunteers.
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Machine Learning Solution Engineers own the technical aspects of the sales cycle, designing and leading a tailored and business value-aligned technology evaluation process. Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers.
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The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.
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The Assistant Principal’s job is to support the school in driving academic and social emotional learning outcomes for students as a key member of the school’s leadership team. Recommends to the School Leader what school-wide professional development will be the highest leverage in improving student results; lead engaging, actionable, adult-learning workshops; and hold staff accountable for implementation of the workshop practices.
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You will own the people strategy and drive execution of the people roadmap with HR, talent acquisition and onboarding, total rewards/compensation and benefits, the employee lifecycle, and learning and development.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Top-tier machine learning teams rely on our tools for their daily work at companies including OpenAI, Toyota Research Institute, Lyft, Samsung, and Pandora. The teams in our Models Engineering organization primarily work on features that enhance and centralize the machine learning development workflow for our users.
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Apply cutting-edge machine learning algorithms, including but not limited to deep learning, ensemble methods, and natural language processing, to analyze large-scale datasets related to customer behavior, product attributes, and digital commerce performance.
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Our group is committed to designing and implementing transformative Machine Learning capabilities to model and probe the cellular biology of disease, from DNA variation to tissue organization, and how it is manifested in the patient populations we want to impact.
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The Department of Surgery, Division of Surgical Oncology at the University of California, San Francisco, is seeking outstanding candidates for a full time scientist with expertise in machine learning techniques, who will work with the Breast Care Surgery team on the WISDOM study of personalized breast cancer screening.
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Demonstrated understanding of HR data and processes (e.g. Talent Acquisition, DE&I, Learning & Development, Performance Management, etc.) Demonstrated understanding of HR data and processes (e.g. Talent Acquisition, DE&I, Learning & Development, Performance Management, etc.
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The specific areas of expertise should include big data analytics, visualizations, biomarker data repository development, clinical decision support, bioinformatics, clinical research informatics, machine learning, clinical trials, and related areas.
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Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. 4+ years B2B online marketing, media sales, and digital marketing experience including SEO, website development, PPC, online advertising, and social media (required.
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machine learning jobs Title: home sales representative Company: Vector Marketing in San Francisco, CA
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