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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. or Python, winners of competitions such as ACM/ICPC, NOI/IOI, Top Coder, Kaggle, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred; Excellent coding ability, data structures, and fundamental algorithm skills, proficient in C/C.
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Drive the team to leverage the latest techniques in data engineering, machine learning, and data visualization to build a suite of both user-facing and internal-facing capabilities that enable fast resolution of customer issues to keep the customers focused on getting the most value out of the Snowflake platform.
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Snowflake has a vast amount of diagnostic and machine data that the team will use to create large scale batch and streaming data pipelines, visualizations, and applications to extract insights and intelligence from to get customers past roadblocks and back to consuming the Snowflake platform.
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Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. Python or related languagePREFERRED QUALIFICATIONS- Experience in professional software development- Experience with AI, NLP, Big Data, large scale distributed systems, search, online recommendation, personalization.
$136,000Full-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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They are looking to hire a Cloud Engineer who can support robust and repeatable cloud designs in support of data manipulation, large-scale infrastructure for data ingestion, and data visualization for custom client applications.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Key QualificationsExperience in machine learning, deep learning, information retrieval, natural language processing or data miningExperience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs. Proficiency in one of following languages: Python, Go, Java, C.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We produce and store massive amounts of media data and orchestrate a complex computation mesh to ship Computer Vision, Graphics, Machine Learning and Generative Algorithms, using a variety of technologies such as Metaflow, Conductor, Cassandra, Elastic Search both with JVM and Python languages.
ExpandApply 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 11 days ago - UpvoteDownvoteShare Job
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2 years of experience coding in Python, Jax, or Pytorch. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
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They're looking for a Senior Machine Learning Engineer to build large-scale language models and drive feature development. Are you passionate about large-scale NLP and search.
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As a Senior Software Engineer in the Central AI team, you will build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines.
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Staying on top of emerging trends in generative AI and multi-modal LLM.Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. Strong problem-solving and communication skillsDescription: As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in ML to tackle sophisticated data problems.
$170,700 - $300,200 a yearExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Responsible for the research and application of the company's large-scale models, exploring new applications and solutions for related technologies in the fields of search, recommendation, advertising, content creation, and customer service, to meet the growing demand for intelligent interactions from users and comprehensively improve their way of life and communication in the future world.
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