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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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As a senior staff level engineer, you will be deeply involved in guiding the development and architecture of this layer of the system hardware and software. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.
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We're currently looking to add a machine learning engineer to our team to help us build and release more machine learning-powered value to our users. Architect, design, and implement high-quality machine learning software applications, infrastructure, and tools.
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3-5+ (Senior) or 10+ (Staff) years of experience in software, Verilog, or firmware development in robotics, silicon, real-time controls, machine learning accelerators, network switches, fabrics, transport protocols, operating systems, or system software.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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DescriptionGENERAL SUMMARY/ OVERVIEW STATEMENT:The Research Engineer will be focused on iterative device development, ingestible/implantable electronics, embedded software development, machine learning integration, and novel drug delivery/bio-sensing system design for treatment of a variety of disease conditions.
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As a Senior Staff Software Engineer you will be responsible for shaping the ML/AI engineering strategy for some of the most widely used and impactful content understanding products in Ads and beyond (i.e., experiences in Google Ads, YouTube, Gmail, Search, etc.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're currently looking to add a seasoned machine learning engineer to our team to help us build and release more machine learning-powered value to our users. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Expertise in machine learning toolchains and techniques, such as Pytorch or Tensorflow. Experience in one or more relevant technical areas: natural language processing, machine learning, distributed systems, or building infrastructure for engineering/science users.
$200,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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The candidate will work in support of technical staff from multiple programs developing algorithms, datasets, simulation environments, assets, and interfaces used in the development of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), computer vision, and autonomy projects.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
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We are seeking a Simulations and Analysis Engineer to support our work with the U.S. Army Research Laboratory in Adelphi, MD. The Simulations & Analysis Electronics Engineer will work under senior engineering staff to learn and apply advanced antenna and electromagnetic (EM) theory in the modeling of highly complex and advanced electromagnetic phenomenon within a multi-disciplinary program.
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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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Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering.
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