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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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In this role, you will be building ultra large scale batch & streaming datasets to support analytics, experimentation and machine learning and helping to drive our self-serve strategy for reporting on-behalf of data scientists and product engineers as we collectively make product better.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - 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.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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Keep up with rapidly evolving technologies like Machine Learning, artificial intelligence, and Natural Language Search (NLS) to ensure our Core Experience products meet the needs of our customers and are delivered quickly to capture user feedback and insights to learn and iterate.
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Job requirements- Experience in leading an engineering team- Experience in developing and deploying large-scale machine learning systems. - Strong sense of responsibility and good at communication and teamwork- Passionate about solving complex and challenging problemsQualifications- Experience contributing to an open sourced machine learning framework (tensorflow / jax / pytorch / torchscript / mxnet / tensorrt.
$199,500 - $340,100 a yearFull-timeExpandApply NowActive JobUpdated 2 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.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The Core Search and Artificial Intelligence (AI) team is the leading applied machine learning team at Microsoft responsible for delivering the quality experience to over 100M daily active users around the world in Microsoft's search engine, Bing. Beyond Bing other search engines such as Yahoo, DuckDuckGo, and new startups like You.com depend on us as well.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work on challenging problems in areas such as data storage, query optimization, JVM performance optimization, security, machine learning and more. Are you interested in building out a cloud-scale log analytics and search platform for OpenSearch's Vector Engine.
$115,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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Leverage expertise in machine learning, recommendation systems, pattern recognition, data mining and artificial intelligence to suggest, collect and synthesize requirements and create effective feature roadmap.
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We solve challenging technical problems such as extracting structured data from unstructured content, automatic data and item classification, ontology design, big data computation and high scale service design to meet our charter.
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C. Excellent problem analysis and solving skills, able to deeply solve problems in large-scale model training and application.
ExpandApply NowActive JobUpdated 8 days ago
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