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Senior Scientific Machine Learning Software Engineer - PhysicsNVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies.
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About the team: The Multimedia Arch Frontend team is responsible for improving user experience and performance on TikTok, Including but not limited to data visualizations, web media player optimization with machine learning strategies, etc.
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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.
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Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow. Familiarity with CUDA programming and/or GPUs. Good understanding of Machine Learning concepts and experience with Deep Learning Frameworks such PyTorch, TensorFlow.
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Uses shrink-wrap machine, paper cutter, hole driller, bindery equipment, jogger, tape machine, stackers, electric stapler and scales in completion of various jobs contracted. Uses all copier equipment, calculator, fax machine, postage meter and some PC.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applications. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications developing in C/C.
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MediaTek’s advanced Memory Design team in San Jose is looking for a senior memory design engineer to define and architect memory circuits for high performance compute ASICs targeting Cloud AI, Data Center Networking, Automotive and other Enterprise ASIC applications as well as edge AI Machine Learning (ML) Accelerator SoCs.
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The Multimedia Arch Frontend team is responsible for improving user experience and performance on TikTok, Including but not limited to data visualizations, web media player optimization with machine learning strategies, etc.
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The evolution of Halo’s technology and equipment, growing from an R&D focus to a production manufacturing environment, has triggered the need for an experienced Senior Machine Control Software Engineer who can lead the design, development, and deployment of the company’s key production line equipment control.
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Advanced machine learning or predictive modeling or statistical techniques including multi-variate regression, k-means, hierarchical clustering and Decision Trees. Use advanced machine learning to identify right promotional channels and right frequency of outreach for key customers.
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The impact you'll have:Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. As a Senior Staff engineer, you will be responsible for the most critical long term technical roadmap of the organization.
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3 years of experience with machine learning tools (e.g., TensorFlow, JAX), or compiler and runtime (e.g., TPUs, GPUs). Machine Learning Infrastructure Runtime and API (MIRA)’s mission is to accelerate Machine Learning (ML) for Google and the world by building a modular and scalable ML infrastructure to enable users to develop and execute ML programs seamlessly across frameworks and heterogeneous hardware with performance, usability, and extensibility.
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ResponsibilitiesFounded in 2012, ByteDance's mission is to inspire creativity and enrich life.
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Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms.
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machine job Title: senior in Santa Clara, CA
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