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We are revolutionizing how shows, movies, and games are produced, pushing technological boundaries to efficiently deliver streaming video at massive scale over the internet, and continuously improving the discovery and personalization of our offerings to our global user base using Machine Learning and data analytics.
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As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.
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Key Qualifications Experience in machine learning, deep learning, information retrieval, natural language processing or data mining Experience 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.
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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 Today - UpvoteDownvoteShare Job
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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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As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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Engage with Machine Learning Engineers to determine how data quality variations influence LLM model performance. We are looking for an enthusiastic and technology-proficient Senior Data Scientist, who is eager to participate in design and implementation of a top-notch big data solution that will be deployed at a massive scale.
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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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Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving. - Technical leadership in large-scale machine learning, deep learning, and large language models for recommendation systems.
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Deliver on large portions of a project by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Author research papers to share and generate impact of research results across organization and in the research community.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Senior Staff Research Scientist, Google Research. Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation.
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Staff Research Scientist, Google Research. Staff Research Scientist, Google Research. In-office locations: Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Boulder, CO, USA. By applying to this position you will have an opportunity to share your preferred working location from the following:In-office locations: Kirkland, WA, USA; Mountain View, CA, USA; New York, NY, USA; Boulder, CO, USA.Remote location(s): Connecticut, USA.
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Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Responsibilities Author research papers to share and generate impact of research results across the team and in the research community.
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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely.
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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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