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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Technical leadership entails influencing search indexing, Search algorithms, recommendation algorithms, relevance & ranking, visual search, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, search UX, and overall Adobe Cloud ecosystem.
$118,500 - $219,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience with solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience. Building the intent classifier in a full-stack manner by designing taxonomy, creating and managing high quality labeled data, training the best performed machine learning model (like Bert, GPT), and monitoring the online performance of the model.
$136,800 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build machine learning and statistical models to predict or estimate key signals that are used to optimize marketing campaign performance, such as search engine marketing, customer targeting.
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We're looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in great company.
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Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure. Prior experience building machine learning systems in production such as enabling data analytics at scale.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Experience with machine learning algorithms and tools, entity extraction, or natural language processing.
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As such, our research spans many Machine Learning areas, including deep learning, search and recommender systems, causal inference, reinforcement learning and bandits, computer vision, computer graphics, natural language processing, and computational advertising.
$100,000 - $720,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ year Experience in Search, Machine Learning, NLP, Large Language Models and applying these techniques at scale. In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systems.
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MS/PhD in Computer Science or related discipline with experience in the areas of data mining, information retrieval, machine learning and information extraction. Must be able to lead engineering design, development and testing, as well as work jointly with other team members to develop services and infrastructure at the intersection of machine learning, Big Data, and distributed systems.
$135,200 - $205,700Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge in one or more of the following: machine learning (ML), data mining, information retrieval, search or statistics. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms.
$156,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siris ability to understand and respond to requests.
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Founding Machine Learning Engineer. Plan and execute digital marketing campaigns, including search engine optimization, pay-per-click advertising, social media advertising, and email marketing.
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Our client help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Better understand the risks from biology-related capabilities in search and language model and probe the frontiers of these tools Interact with a new AI chatbot during the research study.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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