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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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5+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: computer vision, natural language processing, foundational model training, reinforcement learning.
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Here’s what you need: Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG) Minimum of 5 years of experience with AI/ML and cognitive services provided by at least one cloud service provider.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience with neural network, deep learning algorithms, natural language processing and/or machine learning. Integrating and fielding a range of talents and personnel spanning the full landscape of data scientist skillsets: ETL, mathematics and modeling, data engineering, visualization and storytelling, platform integration and data analytics.
$108,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Good knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.
$145,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.
$96,200 - $158,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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At least 6-8+ years hands-on experience with data science, big data, and data engineering. Deep understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills.
$96,200 - $158,900 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong understanding of how technologies can solve customer problems including Data Science, Machine Learning, and Natural Language Processing is required. As product management professionals, we put customers at the center, practice rapid learning, take full responsibility from product definition through customer success, and deliver healthy profit to the business.
$120,000 - $160,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Innovation Architect: Design and develop highly scalable algorithms across the full stack, incorporating machine learning, computer vision, natural language processing, and more.
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Collaborate on modeling techniques to support the full spectrum of LLM tuning including prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF), parameter-efficient tuning, and fine-tuning.
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We’re a team in Core Machine Learning focused on helping to bring large language model technologies to production across numerous Google product areas. 5 years of experience with machine learning algorithms and tools, or applied ML (e.g., NLP, Generative AI.
$189,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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