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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Conduct research and development of Natural Language Processing (NLP) models, and collaborate with engineers to bring these models into production. In this role, you will: Our team is looking for someone passionate about Natural Language Processing.
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Passionate about consumer health, natural high quality ingredients, solving and preventing chronic health conditions, mission and sustainable team focused on attracting and retaining customers through quality and community.
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Proactively build and maintain relationships with partner teams, including but not limited to Cyber Intelligence, Red Team, Insider Threat, and Hunt teams. At least 3 years of experience with Threat Intelligence Platforms (TIPs), Security Orchestration, Automation, Response (SOAR) or Security Information and Event Management (SIEM) tools.
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We have a strong preference for building our own backend technology, so you'll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone.
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Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
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Experience with a Business Intelligence tool like Looker, Tableau, Redash, Mode, Periscope, Domo, etc. Business Intelligence Analyst / Senior Business Intelligence AnalystRemoteFull-Time/Regular, ExemptWho We Are:Getaround is the world’s first connected carsharing marketplace.
$100,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience.
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Most of the sales rep's job can be automated with today's technology: large language models, web scraping, automation, integrations, etc. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models.
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Natural Language Processing (NLP) Pioneering Research : Collaborate with USC INK lab and embark on exploratory research areas like Human-in-the-loop machine learning, Model Explanatory, Parameter-efficient Fine-tuning, Collective Intelligence, and Human-machine integration.
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Security wizard with 3+ years of experience within one or more areas: detections engineering, threat intelligence, endpoint hardening, device management, network/vpn/proxy/zero trust, XDR/EDR, DLP, insider threat processes, email security, forensic analysis, reverse engineering, data engineering, penetration testing.
$164,200 - $229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build and manage a high-performing team: Recruit, develop, and lead a small team that collaborates and informs cross-functional teams: Partner closely with marketing, sales, product, and other departments to ensure alignment and effective utilization of market intelligence.
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Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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The company's platform uses automatic speech recognition, and natural language processing, including large language models, to generate accurate and timely medical notes that are transferred into the EHR.
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natural language intelligence jobs Company: Synchrony in San Francisco, Schuyler, Nebraska
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