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Data science, machine learning, optimization models, PhD 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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Data Scientist Machine Learning - Sunnyvale, CA and Austin, TX. Job Title: Data Scientist Machine Learning. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
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LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc. · Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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I have been working at Nutanix since May 2021, primarily on the machine learning algorithm side but also in areas like MLOPs lifecycle management, data preparation, and deployment.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. As a Data Scientist, you will play a key role in developing and deploying advanced machine learning models and algorithms to extract insights from large datasets and drive business value.
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Data science, machine learning, optimization models, PhD 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)Primary Location.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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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Our earliest products power federated machine learning missions for clients in several industries, where data privacy, low latency serving, and low cost of data storage are important to the client.
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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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Take on exciting and difficult challenges in NLU, LLM, and conversational agent domains, such as coreference-preserving data masking, RLHF/RLAIF/DPO, fine-tuning LLMs for tool use and enterprise reasoning, machine translation, speech recognition, agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
$193,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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They will develop and train machine learning models and perform experiments and analysis using open-satellite data sets leveraging experimental and commercial quantum computing devices and simulators.
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The Principal Data Scientist / Applied Machine Learning Scientist – Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. Our mission is to push the envelope in Artificial Intelligence (AI), Natural Language Understanding (NLU), Machine Learning (ML), Dialog Management, Automatic Speech Recognition (ASR), and Audio Signal Processing, in order to provide the best-possible experience for our customers.
$240,100 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning.
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RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Software Engineer - Data Engineering Analytics Engineer.
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machine learning jobs Title: sr data scientist Company: The Judge Group in Santa Clara, CA
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