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You will be: Developing Deep Learning / Machine Learning methods for HDR tone mapping, image super resolution, image noise reduction, image classification, object recognition, sematic segmentation Training and optimizing deep learning based computer vision algorithm Optimizing performance on embedded hardware accelerators Validating large-scale datasets.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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As an AI engineer you’ll collaborate closely with our team to prototype, productionize and deploy solutions for problems at the intersection of robotics and machine learning. Leverage new open source tools or models to speed up the machine learning pipeline (such as using Segment Anything Model (SAM) to auto-label images.
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Provides learning experiences for both customer and Evergreen's plant personnel on machine operation and/or carton performance. Meets corporate business and team objectives for antitrust compliance, business information protection, EEO, safety, quality, ethical behavior and learning.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Ability to ramp up on various domains within Machine Learning such as Computer Vision and Multimodal models. We are located in heart of Silicon Valley in Mountain View, CA. We are looking for an experienced data scientist or engineer with ML experience who is excited to apply machine learning to real-world problems and build models that will go into production.
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In addition to traditional DSP, Sound, and Image Processing tools, the lab should extensively leverage artificial intelligence, machine learning & data mining, and natural language processing tools and techniques.
$310,100 - $385,900 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Proven experience in machine learning and artificial intelligence, with a focus on Azure, OpenAI, and Copilot. Leverage Azure's AI and ML services to develop and deploy machine learning models, ensuring scalability, reliability, and performance.
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Dr. Terrance Boult and his team at the El Pomar Institute for Innovation and Commericalization (EPIIC) at the University of Colorado Colorado Springs (UCCS) are seeking one or more highly motivated advanced post-doctoral researcher(s) with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning, and/or with biometrics and computational photography.
$62,000 - $85,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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PhD in computer vision, machine learning, computational photography or related areas; alternatively a comparable industry career, with significant experiences on delivering products using state-of-the-art computer vision and machine learning technologies.
$230,500 - $346,300 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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This includes, but not limited to, generative Artificial Intelligence(AI), Machine Learning(ML), Internet of Things(IoT), and enterprise scale analytics. This individual will translate strategic business objectives and vision into reference architecture, shape technical and non-functional requirements, and lead data driven project teams to enterprise scale solutions built for the future.
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1-2 years as data scientist or machine learning engineer. Proficiency developing machine learning solutions using Python and its associated ecosystem - numpy, pandas, TensorFlow, PyTorch, etc.
$55 - $58.15 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Drive vision for campaign reporting solutions to ensure Omnicom’s capability is competitive in the market and leverages modern technologies, including defining new metrics, machine learning, and data visualization.
$136,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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