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Motivate TK/K-6th grade students through social-emotional learning and enrichment activities such as STEAM, music, and Lego. A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data tools and platforms, such as Hadoop, Spark, and cloud-based solutions (e.g., AWS, Azure, GCP). Lead the org-wide quantitative method learning program to shift the culture to be more inclusive of quant and analytics data.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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The team includes a VP, two analysts, a Sr. Salesforce Administrator/Developer, and a Salesforce Administrator; together, the technical and analytic sides of the ‘house’ execute on the agency’s robust learning agenda to spur refinements, innovation, and decision making in service of the 7,800+ clients we serve annually.
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You will drive the technical, product, marketing and go-to-market engagement with strategic partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has expertise in Physics Informed Machine Learning, a proven technical background in Deep Learning, and experience of ecosystem development.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life. Self-motivated, organized and interested in learning. Solid understanding of electron microscopy, semiconductor device physics and failure analysis (through previous work experience or course work.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Hands-on experience in machine learning and TensorFlow framework.
$253,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong classroom management skills, including Positive Behavior Intervention and Support (PBIS), Conflict Resolution techniques, and Social-Emotional learning strategies. The Education Coordinator is, or will become, familiar with California Common Core State Standards, including those related to social-emotional learning.
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At Astera Labs, we are looking for motivated Post-Silicon Validation Engineers to work on our game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Enhance the capabilities of natural language understanding based on LLM, such as content understanding/classification, vector retrieval, structuring, and representation learning of short/long texts.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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Experience in networking (NMAP, SNMP, Sensors), Big data technologies (Apache Spark, Apache Kafka), and Databases (SQL). Experience in networking (NMAP, SNMP, Sensors), Big data technologies (Apache Spark, Apache Kafka), and Databases (SQL.
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Design, architect and implement large-scale machine learning systems/infrastructure/services for computer vision, computer graphics and deep learning models. TEAM INTRODUCTIONThe AI Platform team is a team focusing on building advanced end-to-end AI production pipelines, including deep learning model training, optimization, deployment and applications.
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What you will be doing:Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
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