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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. About The RoleAs a Distinguished 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.
$247,800 - $371,500ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Linea founders are CS PhDs from the lab at UC Berkeley that created Apache Spark. Our team has worked on many popular machine learning frameworks such as Spark MLlib, Tensorflow Extended (TFX), and ONNX – and built proprietary ML infra that powers billions of dollars in revenue.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in using relevant tools and services for ML infrastructure management, such as Kubernetes, Docker, or Apache Airflow.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 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 Today - UpvoteDownvoteShare Job
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Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta, Pinterest, eBay, Lyft, and other leading organizations.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Experience with Apache infra, CNCF-stack, and cloud-native development, and ideally with Rust/Golang. Spice AI is also building the ; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose real-time and historical time-series data, high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
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Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering (mobile, server and data), machine learning and data science, actuarial science on building industry-leading innovations that make Lyft safer by reducing the frequency and severity of accidents on the platform.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure.
$166,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience debugging and optimizing large scale data pipelines using Apache Spark. The Machine Learning Infrastructure organization provides infrastructure and support to run machine learning workflows and ship to production, tooling and operational capacity to accelerate the use of these workflows, and opinionated technical guidance to guide our users onto successful paths.
$254,600 - $538,400 a yearFull-timeExpandApply NowActive JobUpdated 18 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 6 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 26 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 19 days ago - UpvoteDownvoteShare Job
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Experience working with Apache Spark (SQL, MLlib, Streaming) GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts to help maximize the value of GoodRx’s platform for both customers and stakeholders.
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Experience with graph-based data workflows such as Apache Airflow, Meson. Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
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