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Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi). Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
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Operationalize machine learning models on large datasets and build production-grade data solutions (relational and NoSQL); Conduct systems monitoring/alerting, capacity planning, and performance tuning with Google Cloud data products, including CloudSOL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, B Ouery, Dataprep, and Composer.
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Experience with distributed data processing and machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azur. Track record of publications in top-tier international machine learning, data mining or information retrieval venues (e.g. KDD, WSDM, SIGIR, RecSys, ACL, ICLR, NeurIPS, etc.
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Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch). Architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Implement and optimize machine learning and deep learning algorithms for performance and scalability.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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You will manage the successful delivery of Professional Services engagements to drive customer adoption of Google Cloud services (e.g., Google Compute Engine, Google Cloud Machine Learning, Google Kubernetes Engine, BigQuery, Google Workspace, Google Chrome, and many more.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google’s Vertex AI, Azure’s AI tools, and AWS’s Machine Learning services.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Good knowledge of hosted and open source ML services like AWS SageMaker, Google Cloud ML, TensorFlow, Pytorch or others. We are currently seeking a Machine Learning Engineer to join our Alternatives Data Management team.
$125,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with distributed computing frameworks (e.g., Spark, Hadoop.
$120,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A brand new era of workflow for visual storytelling is being born by way of the cloud and machine learning. Excellent knowledge of TikTok, Instagram, Facebook, X/ Twitter, LinkedIn, Pinterest, Google+ and other similar platforms.
$70,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Voltage Park is building a machine learning cloud infrastructure business from the ground up. A minimum of five years of experience in performance marketing using advertising platforms such as Google Ads, Facebook Ads Manager, LinkedIn Ads, Twitter Ads, etc.
$95,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong background in computer vision, image processing, and machine learning. Familiarity with cloud platforms and services (e.g., AWS, Google Cloud) for scalable computer vision applications.
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