{"schemaVersion":"jobsearcher.job.v1","id":"575897b2047cba1660bcc07f","url":"https://jobsearcher.com/jobs/575897b2047cba1660bcc07f","canonicalUrl":"https://jobsearcher.com/jobs/575897b2047cba1660bcc07f","title":"NLP Engineer","description":"About the Job About: We are seeking an NLP Engineer to design and deploy natural language understanding systems powering our core product.\nRequirements: 3+ years in NLP/NLU, proficiency in Python, PyTorch, and Hugging Face Transformers. Experience with LLMs, fine-tuning, and prompt engineering. MS in CS or related field. The ideal candidate should have a strong background in NLP and deep learning, with excellent knowledge of Python and popular NLP libraries. A master’s degree in Computer Science or a related field is also required.\nResponsibilities: At showcase, the NLP Engineer will be responsible for building and deploying text classification and entity extraction pipelines, developing and optimizing conversational AI models, and collaborating with the product and data teams to ship NLP features end-to-end. The role will involve working closely with cross-functional teams to understand product requirements and develop NLP solutions that meet these needs. Key responsibilities include:\nBuilding and deploying text classification and entity extraction pipelines to enable accurate and efficient data processing.\nDeveloping and optimizing conversational AI models to improve user experience and engagement.\nCollaborating with the product team to understand product requirements and develop NLP features that meet these needs.\nWorking closely with the data team to develop and deploy NLP-based data pipelines that support data-driven decision-making.\nDesigning and implementing NLP-based solutions to address complex technical problems and improve overall system performance.\nDeveloping and maintaining NLP-based models and pipelines using Python, PyTorch, and Hugging Face Transformers.\nStaying up-to-date with the latest developments in NLP and deep learning, and applying this knowledge to improve our NLP solutions.\nSkills: The ideal candidate should have excellent knowledge of NLP and deep learning, with a strong background in Python and popular NLP libraries. Key skills include:\nProficiency in Python, PyTorch, and Hugging Face Transformers.\nExperience with LLMs, fine-tuning, and prompt engineering.\nStrong understanding of NLP concepts, including tokenization, stemming, lemmatization, and named entity recognition.\nAbility to design and implement NLP-based solutions to address complex technical problems.\nExcellent communication and collaboration skills, with the ability to work closely with cross-functional teams.\nStrong problem-solving skills, with the ability to analyze complex problems and develop effective solutions.\nAbility to stay up-to-date with the latest developments in NLP and deep learning, and apply this knowledge to improve our NLP solutions.\n\n#J-18808-Ljbffr","company":"Kula Example","rawCompany":"kula example","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-23T04:07:11.697Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"NLP Engineer","description":"About the Job About: We are seeking an NLP Engineer to design and deploy natural language understanding systems powering our core product.\nRequirements: 3+ years in NLP/NLU, proficiency in Python, PyTorch, and Hugging Face Transformers. Experience with LLMs, fine-tuning, and prompt engineering. MS in CS or related field. The ideal candidate should have a strong background in NLP and deep learning, with excellent knowledge of Python and popular NLP libraries. A master’s degree in Computer Science or a related field is also required.\nResponsibilities: At showcase, the NLP Engineer will be responsible for building and deploying text classification and entity extraction pipelines, developing and optimizing conversational AI models, and collaborating with the product and data teams to ship NLP features end-to-end. The role will involve working closely with cross-functional teams to understand product requirements and develop NLP solutions that meet these needs. Key responsibilities include:\nBuilding and deploying text classification and entity extraction pipelines to enable accurate and efficient data processing.\nDeveloping and optimizing conversational AI models to improve user experience and engagement.\nCollaborating with the product team to understand product requirements and develop NLP features that meet these needs.\nWorking closely with the data team to develop and deploy NLP-based data pipelines that support data-driven decision-making.\nDesigning and implementing NLP-based solutions to address complex technical problems and improve overall system performance.\nDeveloping and maintaining NLP-based models and pipelines using Python, PyTorch, and Hugging Face Transformers.\nStaying up-to-date with the latest developments in NLP and deep learning, and applying this knowledge to improve our NLP solutions.\nSkills: The ideal candidate should have excellent knowledge of NLP and deep learning, with a strong background in Python and popular NLP libraries. Key skills include:\nProficiency in Python, PyTorch, and Hugging Face Transformers.\nExperience with LLMs, fine-tuning, and prompt engineering.\nStrong understanding of NLP concepts, including tokenization, stemming, lemmatization, and named entity recognition.\nAbility to design and implement NLP-based solutions to address complex technical problems.\nExcellent communication and collaboration skills, with the ability to work closely with cross-functional teams.\nStrong problem-solving skills, with the ability to analyze complex problems and develop effective solutions.\nAbility to stay up-to-date with the latest developments in NLP and deep learning, and apply this knowledge to improve our NLP solutions.\n\n#J-18808-Ljbffr","datePosted":"2026-10-23T04:07:11.697Z","dateModified":"2026-10-23T04:07:11.697Z","hiringOrganization":{"@type":"Organization","name":"Kula Example","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"575897b2047cba1660bcc07f"},"url":"https://jobsearcher.com/jobs/575897b2047cba1660bcc07f"}}