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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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Experience with semiconductor chip products and wafer samples is a plus. Learning & Development: take on career development programs and goal setting to create big possibilities for your career and life.
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Experience contributing to strategic leadership and management of a Department, Business Unit or Research and Development group in Artificial Intelligence / Machine Learning. Strong technical expertise in AI, machine learning algorithms, data analytics and related technologies.
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Proficient understanding of opensource databases such as Apache Cassandra, Apache Kafka, PostgreSQL and other similar technologies. Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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MINIMUM REQUIREMENTS: Bachelor's degree or U.S. equivalent in Chemical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related field, plus 3 years of professional experience as Process Engineer, Solar Materials Engineer, or any occupation/position/job title involving manufacturing engineering.
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Proficient in Apache Hadoop, Map-reduce, Apache Spark, and in messaging Systems as Kafka. Knowledge and/or experience in Data mining, Machine Learning, Image and Video Processing.
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Research and develop hybrid machine learning and physics-based software solutions for semiconductor device and thin film metrology. Experience in Azure DevOps is a plus. Hands-on experience in machine learning and TensorFlow framework.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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Experience in algorithmic research and development of mainstream risk control strategies and LLM systems development experience is a plus. - Priority will be given to those who master the algorithm principles of LLM (Large Language Models), Fine-tuning, Prompt Engineering, vector databases, and Agent application frameworks such as LangChain/Autogen; familiarity with the latest LLM technologies and experience in training or applying them is a plus.
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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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Experience accessing and building various endpoints (e.g., REST APIs) and accessing databases (e.g., Postgres, Spark, Snowflake) Experience with building statistical and/or machine learning solutions to solve business problems.
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BA/BS degree or above with 3+ years of project delivery or technical leadership background, plus strong organizational and interpersonal skills, will enable you to succeed in TikTok's fast paced environment.
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Familiarity with basic data engineering concepts and comfortable working with large datasets using libraries such as Pandas, Spark on Databricks. Integrate data applications with GenAI agents Drive automated customer engagement through tools such as Intercom and Marketo Collaborate with data engineers to understand data workflows, pipelines, and ETL processes and data engineering tools such as Databricks.
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learning apache spark plus jobs Company: Eightfold in San Jose, CA
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