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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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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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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 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.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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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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Field experience in a Facilities environment including: Office space, machine shop, paint shop, building circuit card assemblies, testing facilities, laboratoryKnowledge of HVAC systems and controls, both pneumatic and low voltage environments, clean rooms, and hazardous material areas.
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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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You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Statistics, Probability theory, Robustness theory, Robotics, or Autonomous Driving (preferable.
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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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This group is entrusted with developing core data mining, natural language processing, and machine learning solutions for AWS services. - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects.
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As a Machine Learning Engineer in our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies.
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You'll be in a key position in the early stage of our data science and machine learning initiative. Who We Are Allume is an online fashion styling service for busy professional women. Experience developing Python/Django applications will be awesome MySQL. Great visual aesthetic.
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Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, machine learning, data mining, statistics, operations research, and micro-economics, to solve challenging problems that arise in online advertising.
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SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
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machine job Title: senior in Mountain View, CA
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