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Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem.
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Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms. Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data.
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Build the next-generation machine learning platform to help millions of customers grow their businesses. DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines.
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As a Senior Digital Design Verification Engineer at NVIDIA, you'll verify the design and implementation of our cutting edge SerDes IPs. This ground breaking technology will enable and accelerate gaming, artificial intelligence, deep learning, and autonomous driving.
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Proven success in lead generation, prospecting, pipeline generation, pipeline progression, negotiation and closing complex sales cycles. Spot is one of NetApp's fastest growing businesses, servicing thousands of customers in more than 60 countries, reshaping the way enterprises consume and optimize information technology and powering the developers who are building the next generation of global industry leaders.
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As a key member of Fortinet’s ASIC design team you will help design and architect Fortinet s Next-Generation System-On-Chip FortiASIC to accelerate world’s most powerful networking security system.
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We are looking for a skilled & experienced DevOps Engineer to join our AV Infrastructure & DevOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.
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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 7 years of experience with machine learning algorithms (e.g., deep learning, natural language processing) and tools (e.g., TensorFlow.
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By integrating this data with our online systems, we empower multiple business lines, drive critical machine learning models, and fuel fast-paced experimentation. DoorDash cares about you and your overall well-being, and that's why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
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We're looking for an experienced software test engineer to lead Validation & Verification (V&V) efforts at Plus by conducting hands-on testing of our autonomous driving stack. Among your responsibilities will be creating and executing test plans for end-to-end software testing for autonomous driving.
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For the past decade, Luminar has built an advanced hardware and software/AI platform to enable its more than 50 industry partners, including the majority of global automotive OEMs. From consumer vehicle programs with Volvo Cars and Mercedes-Benz to technology partnerships including NVIDIA and Mobileye, Luminar is poised to be the first automotive technology company to enable next-generation safety and autonomous capabilities for global production vehicles.
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The world is experiencing a revolution driven by next-generation technology like AI, machine learning, virtual reality, quantum computing, and self-driving cars—all of which require unprecedented amounts of data.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a Principal Software Engineer to lead a new software development team in Threat Hunting Services at Zscaler. 15+ years of software development, including 5+ years of experience in IaaS/PaaS development at scale on public clouds (AWS, GCP, Azure.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. 7+ years of software and machine learning engineering experience in an industrial or applied research environment.
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