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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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This position will be part of the Machine Learning Engineering and MLOps team support Global AI & Data Innovation. Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID.
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Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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6+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical field.
$85.1 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power the ads engagement and delivery that bring together pinners and partners in this unique marketplace.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. You will design, develop, and deploy scalable and efficient machine learning models and systems to power these transformative multi-modal AI applications.
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Build high-throughput, cost-effective data pipelines to support feature extraction and indexing for our web-scale Information Retrieval system. Experience working with ML frameworks such as Pytorch, TensorRT, Onnx, AWS Neuron and accelerating deep learning models for GPU/CPU/Inferentia architectures.
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Solid theoretical background in machine learning and/or data mining. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
$206,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies. As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches.
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Experience in recommendation system, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
$145,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our earliest products power federated machine learning missions for clients in several industries, where data privacy, low latency serving, and low cost of data storage are important to the client.
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We're looking for a machine learning/artificial intelligence specialist with experience in machine learning, computer vision, hyperspectral imaging/inference for mining and critical minerals.
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We are immediately hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Redwood City on a hybrid schedule. 2+ years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib.
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