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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Deep understanding of AI technologies, including machine learning algorithms, neural networks, natural language processing, computer vision, etc. Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
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Experience with natural language processing, text mining, or machine learning techniques. Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
$106,200 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with natural language processing, speech processing, or computer vision. Experience with data processing and ML tools like MLflow, Google AutoML, and Apache Spark.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBM’s), XGBoost, baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.
$80,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
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Natural language processing, computer vision, personalization and recommendation, anomaly detection) Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing.
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Experience with natural language processing (NLP) or computer vision (CV) techniques. Experience with distributed computing frameworks such as Apache Spark. Experience with cloud platforms such as Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, and AI Platform.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong track record of working with language modeling technologies. Expertise in large language models or demonstrated ability to develop this expertise quickly. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent.
$136,000Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Prefer at least 3-5 years working with Machine Learning and/or Natural Language Processing (in particular, Named Entity Recognition, Deep Learning, Neural Networks, Image Processing, NLP, Spark, TensorFlow) methodologies.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In addition to general supervised and unsupervised ML, subareas of interest include natural language processing, image processing, audio processing, and generative AI.
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Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.
ExpandApply NowActive JobUpdated 5 days ago
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