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While Freshworks has had incredible organic growth over the last few years, the company also has made targeted acquisitions that add critical capabilities to the portfolio including Natural Language Processing, Chatbots, Machine Learning, Social and Messaging Transformation.
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Similar to ChatGPT, Perplexity is a chatbot that uses machine learning and Natural Language Processing (NLP) to respond to user questions. They are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results.
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The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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Strong background in natural language processing, LLM, machine learning, and statistical modeling. Develop and validate cutting-edge NLP algorithms, including large language models tailored for healthcare and bio-pharma use cases.
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We are building state-of-the-art probabilistic models and engineering marvels to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction and knowledge representation.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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This role is responsible for planning and executing on key data engineering initiatives spanning our work in artificial intelligence, machine learning, search, natural language processing and product analytics.
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Machine learning background in Python; experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), Graph-based Models, and Computer Vision.
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The areas we focus are Data Management, Data Integration, Machine Learning, Natural Language Processing, and Human-Computer Interaction. As a Research Engineer or Data Scientist, you will be working on productization of cutting-edge work on NLP from our research team and play a key role in tech transfer to our subsidiaries for production deployment.
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Experience with natural language processing (NLP) and text generation is a plus. Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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If you’re passionate about the intersection between natural language processing, data science, and huge amount of text data, we encourage you to apply! Use effective text representations to transform natural language into useful features.
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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What you'll do: Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to solve complex problems in automation and Chrome development, such as natural language processing, computer vision, recommendation systems, or predictive analytics.
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In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning. In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM.
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Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across dating, personalization, growth, discovery, ads and search. Strong track record of working with language modeling technologies.
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natural language processing jobs in California, MO
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