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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.
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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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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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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.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Author research papers to share and generate impact of research results across the team and in the research community. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; New York, NY, USA; Kirkland, WA, USA; Sunnyvale, CA, USA; Cambridge, MA, USA.
$133,000 - $194,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Mountain View, CA, USA; New York, NY, USA; Kirkland, WA, USA; Sunnyvale, CA, USA; Cambridge, MA, USA.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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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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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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Experience with Large Scale Data-Mining and/or Machine learning are a plus. 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.
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System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist.
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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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We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. 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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