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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionization to visualization. You will be working as Tech Lead on our backend services for Machine Learning Operations, and model serving system.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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ResponsibilitiesDesign and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
$355,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment.
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Experience in Machine Learning, Big Data and Deep Learning. As a Staff Engineer at LinkedIn, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our members’ platform activities and industry trends to create personalized recommendations that are delivered to our members at the optimal moment.
$255,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionisation to visualization. You will be working as Tech Lead on our backend services for end to end machine learning platform.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Come shape Apple products as a driven and dedicated Computer Vision / Machine Learning Algorithm Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data in an innovative team and be part of building the next big thing.
$264,200 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets. As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Lead the design, get your hands dirty and write code, and ultimately deploy big data and machine learning services. Lead development of services and infrastructure at the intersection of machine learning, big data, and distributed systems.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Location: Mountain View, CAResponsibilitiesA tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The machine learning infrastructure team develops infrastructures and systems that support the end-to-end machine learning development cycle, including training, serving, feature management, model management, monitoring and observability.
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Collect, process and analyze data: A big part of our machine learning projects is understanding and analyzing the data. Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, Keras, TensorFlow, PyTorch.
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big machine jobs Title: machine learning in Palo Alto, CA
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