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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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Collaborate with deep domain experts in fields like ML and NLP. Our engineers made major contributions to projects such as TensorFlow at Google. We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder.
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And machine learning and deep learning frameworks (e.g. TensorFlow, Keras, PyTorch) We are seeking a highly motivated scientist with expertise in digital pathology, including image acquisition and analysis using cutting edge deep learning technology.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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4+ years of end-to-end DSML experience building data pipelines, ML models, DS automation workflows, machine learning tools and using frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc.
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Experience using machine learning/deep learning frameworks such as TensorFlow and/ or PyTorch. TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry.
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Depending on the project you work on, experience with 1 or more of these AI/ML technologies: TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, large-scale data sets, Natural Language Processing and Graph algorithms.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with the technologies listed above (e.g. Tensorflow, Kubernetes & Rust)Experience with robotics: arms, RGBD cameras, force sensors, etcExperience deploying machine learning models and/or systems in productionExperience working in startups/startup-like environment.
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About The RoleAs a Principal Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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Possess a deep understanding of AI concepts, Software Engineering or Machine Learning. Our goal is to manage the entire Machine Learning Platform, including model training and infrastructure.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
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Strong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. We're looking for an experienced machine learning engineer to help us develop the AI/ML to power DoorDash growing Merchants.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases. Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
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Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform. Position Overview: As a Senior Machine Learning Infrastructure Engineer, you'll lead the design, development, and optimization of our machine learning infrastructure.
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Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with deployment of ML models at scale. You will lead the effort in driving our data strategy, to enable the next generations of Machine Learning models to drive our Ad BusinessWhat you’ll be doing:Lead the design, implementation, and continuous improvement of data pipeline for machine learning that drive our AdTech platform.
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tensorflow machine learning jobs in San Francisco, CA
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