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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead 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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Experience with Apache Spark platform (including Datasets, SparkML) and/or experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Caffe or PyTorch). Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
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Have demonstrated capabilities in data warehousing, machine learning, natural language processing, or information retrieval (relevant big data technologies including Apache Hadoop and Apache Spark.
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7+ years of experience in software engineering and machine learning, with a focus on building and maintaining ML infrastructure or Batch Compute infrastructure like YARN/Kubernetes/Mesos. Bonus point for experience working with cloud data processing technologies (Apache Spark, Ray, Dask, Flink, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Python, Java, or Scala, with experience in distributed computing frameworks like Apache Spark or TensorFlow. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS SageMaker, Azure Machine Learning, or Google AI Platform.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with data-oriented workflow orchestration tools within the Azure ecosystem, such as Azure Data Factory or Azure Logic Apps, or external tools like Apache Airflow, ML flow, or Argo, required.
$90,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience working with data technologies, such as Apache Spark, Kafka, dbt, and data warehouses, for handling large-scale datasets. We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$133,000 - $237,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Your expertise in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Scala, Java), MLOps technologies (e.g., Kubeflow, MLflow, AWS Sagemaker), and job scheduling frameworks (e.g., Apache Airflow,AWS Step Functions) is strong.
$188,200 - $349,400 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
$180,265 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Ability to use Python and Apache Spark to work efficiently at scale with large data sets. B.S. degree in Computer Science, Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with building and optimizing machine learning pipelines using tools like Apache Airflow, Kubeflow, or MLflow. Experience with cloud platforms (e.g., AWS, Azure, GCP, OCI) and their machine learning services.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Develop and adjust benchmarking suites and methodologies for various software technologies such as Java, Golang, open-source database, Apache Kafka, and machine learning applications. Deep understanding of Linux kernel, compilers, middleware technologies (Java, Golang, TensorFlow, PyTorch), and container environments (Kubernetes, Docker.
$70 - $75 an hourExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
$105,100 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years of experience working with data workflow platforms such as Apache Airflow, Slurm or Flyte etc. Develop, design, create, modify, and/or test document processing pipelines or systems to support our Machine Learning and Analytics capabilities.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Familiarity with data lake, data fabric, Apache Iceberg, vector databases, object stores, non-SQL database concepts. Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib.
$107,000 - $162,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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