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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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Retail, Financial Services, Manufacturing, Technology, Artificial Intelligence, Machine Learning, Data Analysis, Healthcare, Natural Language Processing, Speech Recognition.
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Experience with Machine Learning (ML), with a particular emphasis on Machine Translation (MT) and Natural Language Processing (NLP) Serve as the subject matter authority on all things machine translation and natural language processing.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Full-time employees may also be eligible for equity compensation, in addition to a robust health, wellness, and benefits package.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Head of Machine Learning & Data Science (US/KR)Executive Director, Head of Data & AI Governance and Policy, R&DHead of Computational Science & Data Strategy, ResearchExecutive Director, Head of Data & AI Governance and Policy, R&DPlatform Head, Data & Software Engineering Visit the Career Advice Hub to see tips on interviewing and resume writing.
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We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data & remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions.
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Ph. D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. Propose, prototype, and deliver to new methods and machine learning models to multiple production environments including Linux and mobile (iOS, Android.
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Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions.
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You have 3+ years of experience as a Data Scientist or Machine Learning Engineer. Design, develop, and optimize machine learning models and algorithms for various applications, including computer vision, NLP, and audio/video processing.
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Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
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Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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machine learning natural language processing full time data engineering jobs in South San Francisco, CA
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