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You will be building products using technologies such as AWS SageMaker, Tensforflow, Pytorch, LLM, Elastic Search, REST web services, SQS/Kafka, Vector Database, HBase, Machine Learning, and more.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Learning & Development Opportunities: On-demand online training and book reimbursement. Strong understanding of asynchronous, event driven state-machine design and event driven architectures, preferably in.
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Come work with a well-respected, creative and talented group of experts in graphics, animation, machine learning and mixed reality. Current and past customers include Apple, Google, Meta, Disney, DreamWorks, Activision, Technicolor, ESPN, LEGO, NASA and many others.
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OpenAI, Machine Learning, Python, NLP. AWS Lambda, Redshift, Chatbot, IoT, Elastic Search, Google Analytics. Programming experience in ES6+, Typescript, React (Native), Spring Boot, Node.js, etc.
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We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Develop autonomous driving simulation scenario editor platform to define, inspect, & evaluate the performance of autonomous driving software in any simulated scenario.
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PubMatic is immediately hiring a Machine Learning Staff Engineer to join our growing team in Redwood City on a hybrid schedule. Working with our Big Data, Ad Serving, and Product Managers, you will apply Machine Learning to create POCs (Proofs of Concept.
$230,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years proven work experience as a Machine Learning Engineer or Data Scientist, with a focus on price prediction, categorization, and Generative AI. The ideal candidate should have a strong background in machine learning, expertise in using Google Cloud Platform (GCP) and Vertex AI, proficiency in Python, and a track record of success in price prediction, categorization, and Generative AI.
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Experience with Machine Learning, Data Pipelining, Computer Vision, GeoSpatial and 3D Systems is a plus. As a full stack engineer, you will be responsible for building out critical cloud features and infrastructure to make this vision a reality.
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Knowledge of information extraction (IE), data integration, ontology, semantic technology, machine learning (ML), or natural language processing (NLP). As a Bioinformatics Engineer, you will be part of a collaborative, cross-functional team of scientists, bioinformaticians, knowledge engineers, and software engineers building powerful tools to gain biological insight into RNSeq and DNSeq data.
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We are looking for a hard-working and highly entrepreneurial data scientist / machine learning engineer to join our team and work with the co-founders to build and refine our initial machine learning model for automated credit issuance.
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Software Engineer Intern (AI/Machine Learning) Machine learning training and data processing. Deep understanding and appreciation of image sensor, optics, and image signal processing of the mobile imaging system, and their influence nuance to final image and video quality.
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Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems. Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems.
$190,400 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.
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We're looking for applications from Machine Learning Engineers with demonstrated leadership skills from high-profile companies (target scope: EM / Sr EM). LLM Fine-Tuning and Transfer Learning : Proven experience in fine-tuning LLMs for specific tasks or industries, including the use of transfer learning techniques to adapt pre-trained models to new domains or requirements.
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machine learning engineer jobs in Burlingame, CA
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