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Good foundation in Machine Learning (ML), Deep Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , Unspecified.
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We are seeking a Staff Data Scientist (+5 years of ML industry experience) with expertise in Generative AI (Large Language Models, Multi-Modal Generative AI, Retrieval Augmentation, Multi-language agent pipelines), machine learning focusing on NLP-LLMs, recommendation systems, customer understanding, and (un)supervised clustering.
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3+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer (Python preferred) 5+ years’ experience as a software engineer, Machine Learning engineer, or DevOps engineer.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical hands on experience with: NLP (especially operationalization in production models), Advanced machine learning techniques and tools (especially Tensorflow), modern Data Analytics & Visualization tools (Looker preferred.
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This position presents a distinctive chance to embed powerful AI capabilities into Apple's ecosystem, positively impacting billions of users worldwide Key Qualifications Experience: A minimum of 3 years of hands-on experience in developing and deploying machine learning models, emphasizing Natural Language Processing (NLP) and voice-based conversational systems.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute.
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Design and develop speech algorithms and systems using Digital Signal Processing (DSP), deep learning and big data. Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Mercedes-Benz Data and AI team is seeking a hands-on machine learning expert for research, design, and development of cutting-edge technology applied in projects that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer's experience.
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Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
$24.8 - $57.69 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
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Multifaceted NLP work including: LLM prompt, response, and chat analysis; document retrieval data and analysis; metadata collection and augmentation using machine learning techniques; LLM data sample categorization using prompt engineering techniques; outlier/noise detection.
$168,000 - $264,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
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