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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.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge in Machine Learning, Deep Learning, Data Mining, Information Retrieval, Statistics. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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Machine Learning Engineer - Demand Forecasting (TikTok Global E-Commerce Supply Chain And Logistics)
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Our team is dedicated to enhancing clients' shopping experience and reducing operational costs in the supply chain and logistics of TikTok E-commerce by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods.
$194,750 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvote
Machine Learning Engineer - Demand Forecasting (TikTok Global E-Commerce Supply Chain And Logistics)
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Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on demand forecasting and supply chain optimization. Familiarity with processing big data on cloud platforms (e.g. pyspark) and deploying machine learning models at scale.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
$293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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.
$321,550 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Relevant professional experience with machine learning, data mining, data analysis, distribution system. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Experience in machine learning, data mining, information retrieval, statistics or natural language processing. We are a collaborative team of machine learning engineers and scientists, responsible for Amazon Search quality world-wide.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
$188,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement large scale data processing for model pre-training and fine-tuning. best toys for on the go" or "cheap plus size summer pajamas". You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience with Systems Software implementation of new algorithms and data engineering / analysis aspects of an ad network in Python and/or Scala and/or Java, or you have research experience in at least three of the following research areas - Algorithms, Artificial Intelligence, Data Mining, Distributed Systems, Machine Learning, Statistics, Personalization, Recommender Systems, Information Retrieval, Natural Language Processing.
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You will design, develop, and deploy scalable and efficient machine learning models and systems to power these transformative multi-modal AI applications. Build high-throughput, cost-effective data pipelines to support feature extraction and indexing for our web-scale Information Retrieval system.
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Scaling machine learning algorithms to work on massive data sets and strict SLAs. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing.
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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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