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The mission of the Teaching + Learning Commons (the Commons) is to advance student success through teaching excellence and comprehensive academic student support; be an incubator for student academic success innovations; increase access to education on campus and beyond; and actively promote equity and inclusion within the organization and through its programs and services.
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Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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The Program Officer- Learning, Data & Storytelling (PO-LDS) will have a passion for CRIF’s mission and be excited by the prospect of capturing the learning and insights from our grantmaking led children and youth activists and influencing the children’s rights sector to better reflect those stories.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. More than 18,800 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.
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Experience with machine learning platforms and distributed systems such as AWS sagemaker, Google Cloud Vertex AI, Azure ML Studio, Databricks, You are hands-on and have strong programming skills and background in one or more of the following AI/ML domains: deep learning, natural language processing (NLP), and analytics.
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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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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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Minimum of 3 years of hands-on data analysis experience in full-time professional, data-heavy, and machine learning focused role. Experience developing and deploying machine learning and statistical models.
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Leveraging deep learning design & facilitation experience and substantive subject-matter expertise, you will develop a robust portfolio of learning and development experiences that produce measurable impact at a high-growth global tech company.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
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Major duties of this position include: Oversee the city-wide civil service exam program, leading Civil Service reform projects, and managing designated teams within the Recruitment and Assessment Services Unit. Promote a culture of excellent customer service and the highest standards of performance and mutual respect including developing practices and programs designed to ensure an environment of continuous learning and improvement.
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Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator. Senior Software Engineer - Machine Learning Platform.
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Learning models which leverage deep neural networks, biomedical signal processing algorithms, etc. Learning and Development stipend. Build state of the art machine. The company is headquartered in Oakland, California and privately-held, with investments from ARTIS Ventures, NTT Venture Capital, DigiTx Ventures, Mayo Clinic, Sutter Health and others.
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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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machine learning jobs Title: learning architect Company: Inc in San Francisco, CA
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