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Have built and worked on data pipelines using big data technologies (like Spark, Hadoop, EMR, SQL, Snowflake) This role is on the AI and Machine Learning team, which is responsible for building ML models that power key product experiences on Strava.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$240,000ExpandApply NowActive JobUpdated Today - 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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Job Description: Data Engineer. Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. End to End testing, deployment, Product support and Defect fixes.
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Scaling machine learning systems to massive datasets using big data technologies such as Spark and Hadoop. Building visualization and data exploration tools that automate the analysis and debugging of machine learning models.
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You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. Proficiency in deep learning/machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globally.
$256,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Intelligent Automation, Inc. (IAI) is looking for a junior to mid-level team member to contribute to a variety of machine learning, deep learning, and big data projects.
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Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Collaborate with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Lead Software Machine Learning Engineer to join the Applied Intelligence Anomaly Detection Team. As a Lead Software Machine Learning Engineer, you will be responsible for designing, developing, and deploying advanced anomaly detection solutions that identify and mitigate potential threats to our systems and data.
$225,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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3+ years of experience in one or more of the following areas: machine learning, recommendation or ranking systems, natural language understanding/generation or artificial intelligence. You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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You've worked on and can speak to at least some of: representation learning, embeddings drift, CTR modeling, sequence modeling, etc., preferably on "big data" in an industrial setting.
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Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
$58 an hourExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Their Austin office is a hub for innovation, with a focus on machine learning, big data, and cutting-edge research infrastructure. Contributions to open-source machine learning or data science projects.
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Lead Data and Machine Learning Engineer. 5+ years' experience in data cataloging and classification, data quality, metadata management, data lifecycle, and Big Data administration.
Full-timeExpandApply NowActive JobUpdated 11 days ago
big data learning jobs Title: machine learning engineer
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