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LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR.
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Ensure steady process of transfer of advanced technology research (GenAI, LLM & SLM, machine learning, text & data mining) into core product development roadmaps. As part of Lean development, help conduct customer research, contextual inquiry, market segmentation, market research, and strategic partnerships to develop a deep understanding of both emerging and evolving market needs triggered by GenAI and LLM.
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Experience with AI platforms such as SageMaker, MLFlow, others, preferred Experience with building machine/deep learning models with at least one common framework such as PyTorch, TensorFlow, Keras, Scikit learn etc.
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Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Implement machine learning models, including deep learning, reinforcement learning, and other AI techniques, to solve complex business problems.
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Advanced knowledge in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved.
$138 - $228Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. We have a deep commitment to the communities we serve and encourage our employees to get involved.
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Technically deep, with experience in rotary equipment, thermofluid systems, combustion engines, and/or UAVs. Proficient with the use of design and simulation tools (SolidWorks a plus)An exceptional verbal and written communicator.
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Strong understanding of artificial intelligence, machine learning, and deep learning technologies. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion—supported by deep-rooted core values, one of which is diversity. Focus on learning, development, and career growth.
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Minimum of 4 years of experience in designing and developing neural network models, especially deep learning model, and Foundation models. Minimum of 4 years of experience in deep learning and neural networks, in particular training and large language models with popular libraries and GPUs.
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Experience in deploying unsupervised machine learning, deep neural network,CNNs, ensemble models. As a key player on a Machine Learning COE (Center of Excellence) team, you will partner with data engineers, data scientists, and operations teams in training, building, deploying and scaling ML models and capabilities leveraging cloud-native containerization & distributed computing technologies.
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Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. 7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
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Gain real-world sales experience, take a deep dive into the vast staffing. will also shadow Account Managers gaining an insight into sales by learning. You’ll begin in the Recruiter role, learning to source, interview, and.
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Product Passion: Continually expand your product knowledge with ongoing learning and diving deep into all things Lush. Stay up-to-date on our products, ingredients, and unique benefits to confidently and consistently make informed product recommendations for every customer's needs.
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The ideal NLP Data Scientist candidate for this role will have strong industry experience in working with supervised and unsupervised problems leveraging bag-of-words and deep learning type approaches.
$130,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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