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A prestigious global hedge fund is hiring a senior quantitative researcher to join a growing trading team on a number projects in machine learning, deep learning, and NLP. Research, develop and implement trading models using scientific methods and techniques including machine learning, deep learning, and NLP.
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We are seeking a machine learning research scientist with a proven publication history related to model compression techniques such as pruning and quantization. Strong background in deep learning with expertise in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning EngineerRemote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.
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In this role, as a Machine learning Engineer, you work mainly on creating great libraries and usability for open research releases. Strong skills in NLP and deep learning.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math or other quantitative fields from a reputed university (Ph. D. a plus) Very strong algorithm and programming skills in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms.
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Full Time] Staff Machine Learning Founding Engineer at TrueBiz (United States) | BEAMSTART Jobs. We’re applying a range of existing and new OCR and NLP technologies to deliver value for our clients.
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As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences.
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As a Data Scientist at Capital One, youll be part of a team thats 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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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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Advanced degree, ideally a Ph. D., in Computer Science, Electrical Engineering, or a related field with specialized research in areas such as machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques.
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Understanding of Pytorch, Tensorflow, NLP and other Machine Learning technologies. 10+ yrs of experience in software engineering or a relevant technical role and of which 5+ yrs experience in Machine Learning.
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Strong skills in NLP, LLMs and deep learning. AWS or GCP) and developing machine learning models in a cloud environment. A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.
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Machine Learning Engineer. Expertise in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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