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4+ years of end-to-end DSML experience building data pipelines, ML models, DS automation workflows, machine learning tools and using frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc.
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We're bringing together the best of computational linguistics, machine learning, and education research, to superpower teachers in their work. TeachFX uses AI to show educators personalized insights about the learning dynamics in their classroom, helping them understand which of their instructional practices are making the greatest positive impact on student engagement and equity.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. PhD in computer science, EE or other quantitative subject areaExperience in digital advertisingExperience with machine learning and AIExperience with a widely used Web framework (React.
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You might choose to go deep in analysis and research or build machine learning models to automate our operations, but like your teammates, you'll make a habit of working across the stack.
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Experience using machine learning/deep learning frameworks such as TensorFlow and/ or PyTorch. TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)Experience with robotics: arms, RGBD cameras, force sensors, etcExperience deploying machine learning models and/or systems in productionExperience working in startups/startup-like environment.
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Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform. Position Overview: As a Senior Machine Learning Infrastructure Engineer, you'll lead the design, development, and optimization of our machine learning infrastructure.
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The Opportunity:As a Data Scientist at Kandji, your research will advance our core MDM and EDR products by leveraging machine learning techniques to enable automatic threat detection. Deep understanding of machine learning algorithms and statistical modeling; proficiency in Python and SQL is essential.
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You will lead the effort in driving our data strategy, to enable the next generations of Machine Learning models to drive our Ad BusinessWhat you’ll be doing:Lead the design, implementation, and continuous improvement of data pipeline for machine learning that drive our AdTech platform.
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Familiarity with multiple machine learning or statistical packages in Python, R, MATLAB, or another programming language. Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field.
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Possess a deep understanding of AI concepts, Software Engineering or Machine Learning. Our goal is to manage the entire Machine Learning Platform, including model training and infrastructure.
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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.
$150,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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machine learning jobs in San Francisco, CA
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