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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Preferred experience with cloud-based machine learning platforms such as Amazon SageMaker or Apache Spark-based solutions like Databricks. We are seeking a dynamic and experienced Principal Scientist specializing in AI and machine learning, with a Ph. D. in Machine Learning, Artificial Intelligence, Computer Science, Bioinformatics, or a related field.
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We are particularly interested in candidates who are at the forefront of integrating artificial intelligence/machine learning into biology. The department is interested in recruiting new faculty who work at interfaces between scientific disciplines represented within our department (including computational biology, molecular engineering and design, therapeutic bioengineering, systems pharmacology, drug development sciences, pharmacogenomics) and across the entire discovery science community at UCSF (e.g. biochemistry, biophysics, cell biology, pharmacology, pharmaceutical chemistry, physiology, neuroscience, human genetics.
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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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This document will be in line with the Reggio Emilia approach to documentation and making learning visible. Maintaining a provocative and thoughtful environment to support the Reggio Emilia inspired learning goals.
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As part of EdTech Support team, the Educational Technology Specialist will deliver technology tools and support to enable teaching and learning throughout UC San Diego. Demonstrated experience with educational technology, including but not limited to Learning Management Systems (Canvas, Open edX), classroom response systems and LMS companion products.
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Development and execution of an integrated facilities management strategy across 22 (and growing) KIPP schools to ensure stable, safe, teaching and learning environments. Develop and execute an integrated facilities management strategy across all KIPP schools, ensuring environments are stable, safe, and conducive to teaching and learning.
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You have insatiable curiosity, including for understanding the role of generative AI, machine learning (and other computational approaches), and data at scale to transform drug discovery and development.
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A team of experts in social-emotional learning, physical activity, education landscape, and ed-tech platforms guides us. We collaborate closely with schools to provide comprehensive programs infused with social-emotional learning (SEL.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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Nearest Secondary Market: Oakland Sr. Director Machine Learning Engineering, Paramount Advertising. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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Prior experience with machine learning libraries and stacks (Pytorch, Tensorflow, OpenCV, Supervision) etc. Experience with machine learning/big data at scale (GPU, Docker and Kubernetes.
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Modeling: Design, build and improve machine learning models. Proven experience building machine learning solutions. Bachelor's degree in Computer Science , Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Our project-based, Reggio-inspired curriculum, outdoor classroom, and social and emotional learning curriculum are centered around nurturing the multiple intelligences of each child. We are a multilingual private school that combines small class sizes, whole-child development, and nature-based learning.
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machine learning jobs Title: director engineering in San Francisco, CA
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