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The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
$170,700 - $300,200 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. Powered by innovative technology and operations, we have set out to transform the customer experience journey— from revolutionizing last-mile delivery to rethinking how customers search and discover on a truly mobile platform.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. On the TikTok Search Team, you’ll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system.
$288,000 - $410,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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About The Work Research and develop novel algorithms that solve the most challenging and exciting motion planning and decision making problems in autonomous driving, including optimization-based methods, sampling based methods and search based methods, planning under uncertainty, and combining data-driven techniques with traditional model-based methods.
$138,225 - $207,575 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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In this role, you will leverage our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We develop cutting-edge AI technologies with a wide range of technologies such as deep learning, generative AI, large language models, recommender systems, ranking, search, advertising, auction theory and much more in our solutions, and support many areas of member and customer success within LinkedIn including Jobs-You-May-Be-Interested-In (JYMBII), Job Search, Jobs Notifications, LinkedIn Coach, etc.
$207,000 - $340,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in Big Data, search and chatbot technologies. We are currently searching for a Deep Learning NLP Engineer for our Sr. Staff AI Scientist role to report to our Chief Scientist.
$151,200 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive hands-on experience with NoSQL (e.g. Mongo, Cassandra), Kafka, search engines (e.g. Solr, Elastic), cache (e.g. Redis, Memcached), and other data sources. Come join the Applied Machine Learning (AML) team to do your best work on exciting and groundbreaking projects that will surprise and delight our users.
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Design, model, validate and test algorithms by applying Machine Learning and Natural Language Processing techniques against various real-world datasets including behavioral data. Experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our team develops the XLA TPU compiler used to partition, optimize, and run large machine learning models across multiple TPU devices for internal customers (e.g., Gemini, Ads, Search), and external Google Cloud customers.
ExpandApply NowActive JobUpdated 6 days ago - 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.
$205,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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.
Full-timeExpandApply NowActive JobUpdated 9 days ago - 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 4 days ago - UpvoteDownvoteShare Job
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You will have the opportunities to leverage the latest developments in Natural Language Processing, Deep Learning, and Reinforcement Learning to re-invent customers’ shopping experience.
$136,000Full-timeExpandApply NowActive JobUpdated Today
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