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Able to deeply analyze cutting-edge machine learning (ML), artificial intelligence (AI), and other data science techniques. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience pushing or implementing the cutting-edge in machine learning. We're solving novel, challenging problems in NLP and ML, and deploying cutting-edge solutions to detect the origin and veracity of the information on the web.
InternExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Opportunity to shape the direction and evolution of cutting-edge products, leveraging the latest advancements in AI, machine learning, and cloud computing to solve complex challenges and unlock new possibilities.
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The Enterprise Services Business Risk Office provides risk management support to several lines of business including: Tech, Digital, Brand, Enterprise Supplier Management, Capital One Ventures, External Affairs, Capital One Software (COS) and Enterprise ML. We are on the cutting edge of risk management and provide support for new and emerging technologies as well as critical business strategies.
$12Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As Computational Scientist , you will be a critical senior member of a collaborative team that develops cutting edge computational methodologies and technologies in order to understand the mechanisms of neuroimmunology, cancer immunology and aging, in an efficient and comprehensive manner, which will accelerate the advancement of clinical therapeutic hypotheses.
$95,000 - $115,500 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Leading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities in complex and challenging domains.
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As an Early Systems Engineer with ML Experience at Structify, you will play a pivotal role in crafting cutting-edge solutions that seamlessly fuse advanced machine learning algorithms, knowledge graphs, and personalized AI assistants.
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As a Senior Data Scientist on the Corporate Functions Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, and Lawyers to design, build, and manage cutting-edge technology for transforming Risk, Compliance, and Legal functions throughout the enterprise.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
TemporaryExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Microsoft Research New York City (MSR NYC) is seeking applicants for a senior researcher position focusing on representation learning and efficient decision making with learned representations in the broader area of machine learning (ML) and artificial intelligence (AI), and in particular in the areas of interactive learning, this include deep learning with large foundation models over actions, and reinforcement learning.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of experience leading and managing AI projects in an enterprise setting with strong technical expertise in various AI disciplines such as machine learning, Gen AI, deep learning, natural language processing among others.
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In doing so, you will partner with policy, research, sales, and engineering stakeholders to rapidly adjust to the changing AI and policy landscape, drive new requirements across product teams, and cutting-edge AI technology at the forefront of a new computing paradigm.
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They are dedicated to leveraging artificial intelligence and machine learning to drive innovation, transform processes, and deliver exceptional results. Zanda is partnering with an early-stage AI startup based in New York. This rapidly growing Series A AI company is revolutionising the sector with cutting-edge technologies.
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As a Data Scientist working in the Tech Accelerator, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies.
$100,400 - $143,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago
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