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Data science, machine learning, optimization models, Master’s degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world.
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We’ll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems! Conduct research to advance the state-of-the-art machine learning and NLP technologies.
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The mission of our AML team is to push next-generation machine learning algorithms and platform for the recommendation system, ads ranking and search ranking in our company. - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch Script.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We'll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target.
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Strong understanding of machine learning principles, especially in the context of LLMs.5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The team comprises domain experts in Computer Vision & Natural Language Processing (NLP) who contribute to a variety of shipping workflows you may already regularly use, including: Photos Search, Curation, Memories, Intelligent Auto-crop, Visual Captioning for Accessibility, Federated Learning on visual content, Real-time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on- device feature extractors across the system.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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What You’ll Need: 7+ years of industry experience in one or more of the following: Search, NLP, Ranking, Ads, Recommender systems, and Machine Learning. Using state-of-the-art web-scale machine learning, including cutting-edge NLP, graph-based learning, and multi-modal technology, these teams power a fundamental set of experiences for our over 22 million active customers.
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You will identify an applied machine learning problem in the enterprise search and question answering ecosystem. You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer.
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MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on.
$224,000 - $410,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are in search of a visionary Staff Machine Learning Engineer to spearhead the enhancement of our retrieval models, which are integral to our RAG process. Experience with machine learning lifecycle management, from model development to production deployment.
$175,000 - $225,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Java or Golang;•Effective communication skills and a sense of ownership and drive;•Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.
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Preferred qualifications include an advanced degree in computer science, machine learning, statistics, or a related field, demonstrating a commitment to continuous learning and expertise in the evolving technological landscape.
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Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem.
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