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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Support R&D product development data analysis need from multiple areas, including software, hardware, mechanics, investigation, and algorithm development, etc.
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Reporting to SVP, Engineering, the Director, Data will oversee the data team (Data Science and Data Reporting Operations), leading the development and implementation of critical reporting products, advanced analytics, machine learning models, and data-driven strategies.
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As a key contributor, you will drive the development and refinement of our cutting-edge link modeling tools, collaborate closely with our analog mixed-signal (AMS) and silicon photonics design teams, and leverage your expertise to optimize transceiver performance and predict manufacturing outcomes through advanced simulation techniques.
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Machine learning/deep learning video compression approaches. Machine learning applied to computer vision problems. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Lecturers are expected to teach their courses using student-centered pedagogies; collaborate with the Chemical and Materials Engineering Assessment Coordinator to assess course and program learning outcomes, maintain office hours in accordance with University Policy, and cooperate with the Department to allow for regular peer-reviews of their teaching.
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The post-doctoral fellow will apply machine learning and/or other data science techniques to conduct scientific research, improve remote sensing data products and analysis, integrate machine learning with physics-based models, and/or improve processing of remotely-sensed Earth Science data.
Full-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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We offer competitive compensation, benefits and learning and development opportunities. We offer competitive benefits and learning and development opportunities. As an Electrical Engineer in our Los Gatos, CA facility you will take ownership of PCBA design from concept through schematic, layout and into production.
$135,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking for an experienced Staff Machine Learning Engineer to help us develop the cutting-edge NLP and product knowledge graph models that power DoorDash's growing grocery and retail business.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference. 2+ years of work or research experience in machine learning, ML Infra, or GPU programming.
$207,575 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits. Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for a Firefly model architect interested in working on generative AI models for image, video and multimodal to help us build the next generation of foundation models that power Adobe creative tools.
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We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics.
$235,750 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The Product Marketing Director is responsible for the development and launch of a growing portfolio of innovative AI-powered solutions that enable companies to transform their operations across every department and industry.
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Experience in distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.
$284,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Prepare product specifications for development and installation of customized applications/solutions. This role requires a strong engineering background, ability to work effectively in teams, excellent analytical capabilities, and strong communication skills to describe, understand, interpret, and influence product requirements to software development teams.
$271,400 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Promote a culture of machine learning and ML science excellence by participating in weekly research, learning, and development sharing sessions. Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support bidding and other optimizations.
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electrical machine learning product development jobs Company: Apple in Santa Clara, CA
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
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