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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
$87,400 - $148,600 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Our analytics revolution leverages AI, machine learning, and cutting-edge visualization to reveal insights that empower industries. Front-End Technologies: Advanced knowledge of HTML, CSS, JavaScript, and front-end frameworks like Angular, React, or Vue.js.
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Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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 1 month ago - UpvoteDownvoteShare Job
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We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. - 3+ years of experience in machine learning, or big data analysis.
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As a Machine Learning engineer in the Autolabeling team you will be responsible for designing and developing new Machine Learning models for our offboard automatic labeling systems, and deploying the models to label at scale the data necessary for the development of our next-generation autonomous vehicle platform and ultimately contribute to millions of Toyota production vehicles.
$140,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Model deployment and serving technologies, such as Triton inference services, ONNX, Torchscript, Docker, or Kubernetes for serving machine learning models in production environments. Experience with Triton Inference Server, inferring Deep Learning models and machine learning.
$132,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). Understanding of advanced Machine Learning development, with the ability to work full-stack from API design to programming languages, runtimes, compilers, and advanced hardware.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. Design, implement, and manage a cloud-based database system to store and process large datasets related to battery research and development.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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Skills Strongly Desired - SoC Architecture experience Experience and domain-knowledge in at least 2-3 of these: CPU (preferably, ARM and/or RISC-V), or GPU, or DSP; SoC Memory hierarchy; NoC/Fabric; low-power design and verification; high-speed peripheral interfaces such as CSI, HDMI/DP, I3C, USB, PCIe; Machine-learning / AI; FPGA.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Javascript, Jenkins / Spinnaker, Artifactory, RESTful APIs building machine learning systems is a plus. ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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Our FPGAs are used in a wide variety of applications, including: embedded vision; digital signal processing; machine learning; industrial and medical equipment; and satellites. Develop other software tools to support architecture efforts, applying graph algorithms, statistical modeling, and combinatorial optimization, machine learning.
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machine learning jobs Title: learning bi developer Company: Dice in Sunnyvale, CA
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