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Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Research, design, develop and evaluate advanced image processing and computer vision algorithms for a real-time computer vision pipeline including but not limited to camera calibration, multi-object tracking, object detection and classification, segmentation, and multi-sensor fusion.
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PhD in the field of Computer Graphics, Computer Science, Mathematics or Machine Learning with a proven academic or equivalent industrial track-record. Experience with image processing, multiview systems, camera calibration, pose estimation, non-rigid ICP, non-linear optimization, neural networks training and deployment, PyTorch, distributed and cloud computing.
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Design and implement machine learning models using Natural Language Processing (NLP) to analyze sentiment analysis around players to determine expected output. Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area.
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Graduate studies in either (i) computer science, machine learning, or a related computer science discipline or (ii) chemistry, biochemistry, genetics, molecular biology or bioinformatics.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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The ideal candidate should have received their degree in a relevant field such as Bio/Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience or other closely related field by the time the position begins.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design.
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Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure. Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models.
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Dagster, Airflow) Batch and stream processing systems (eg. Partner with a wide range of cross-functional partners across engineering, data science, research, and product to design infrastructure to train, deploy, and serve AI/ML models at scale.
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Full Specialist- Terminal degree (or equivalent degree) in research-based science (e.g. Neuroscience, Biomedical Sciences, Biomedical Engineering, Bioengineering, or related fields) or ten or more years of relevant experience.
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Director, Engineering Systems. Develop KPIs, metrics, and reporting to communicate the status of the Engineering delivery life cycle, overall systems health, stability, compliance, service levels, and product backlogs etc for internal stakeholders and executives.
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machine learning computer science image processing engineering systems jobs Company: Dolby Laboratories Inc in San Francisco, CA
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To ATS or not to ATS
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