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Good knowledge in Querying and analyzing large amounts of data on Hadoop HDFS using Hive and Spark Streaming and working on systems like HDFS, YARN, Hive, HBase, Spark, Kafka, RabbitMQ, Impala, Kudu, Redis, Hue, Tableau, Grafana, MariaDB, and Prometheus.
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Learning Systems/Leadership certification such as DDI, Achieve Global, Tom Peters, MBTI, etc. Analyzes data within the Learning Management System, and assures data integrity for learning-related business processes, including managing data to demonstrate contract compliance and regional productivity.
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Experience with the Big Data technologies (Hadoop, Spark, Presto, Kafka, ClickHouse, Flink. Optimize and enhance open source data frameworks, Spark SQL, Presto, Flink etc. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
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6+ years of experience with software development in one or more programming languages, machine learning algorithms and tools (e.g., PyTorch), artificial intelligence, deep learning and/or natural language processing.
$385,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Knowledge in using at least one deep learning framework, e.g. Tensorflow, Pytorch, JAX. Be able to understand deep learning algorithms, e.g. computer vision, NLP, behavior planning. Our team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference.
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You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general. including large-scale data processing, parallel programming, code optimization and machine learning including Deep Learning frameworks like TensorFlow/PyTorch.
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Develop data and model pipelines with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologiesDevelop predictive models using machine learning and similar advanced tools to design, prototype, and build next-generation advanced analytics engines and services, which ultimately optimizes customer experience and increases business outcomes.
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Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow). The ideal candidate for this role has a combination of strong hands-on engineering skills, extensive industry experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment.
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Job Description Senior Research Engineer, Machine Learning Privacy San Jose Regular R D Machine learning Job ID: M1758 Responsibilities TikTok is the leading destination for short-form mobile video.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields–including neurosurgery, mechanical engineering, machine learning, and microfabrication–to push the boundaries of what is possible.
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Compensation: $200K - $300K+ Depending on experience plus bonus! Proven experience within the semiconductor or CPU IP industry (RISC-V or similar experience a plus) Experience of CPU architecture (multi-core coherence, FPU, DSP, interrupt, Vector, Security, Reset and CDC, Debug.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Snowflake, or similar) Experience in machine learning, statistical analysis, and predictive modeling.
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We're always striving for peak GPU efficiency on current and future-generation GPUs. To get a sense of the code we write, check out our CUTLASS open-source projectshowcasing performant matrix multiply on NVIDIA's Tensor Coreswith CUDA. This specific position primarily deals with code lower in the deep learning software stack, right down to the GPU HW.
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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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learning spark plus jobs Company: Eightfold in Santa Clara, CA
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