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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.
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As a Staff Machine Learning Production Engineer, you will have the unique opportunity to work on the world's most advanced self-driving vehicles. Develop and maintain machine learning models optimization algorithms and pipelines for production systems.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop production machine learning solutions to solve catalog building and quality problems such as entity recognition, entity resolution, attribute extraction, and category classification, image classification.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Post-Production & Editing: Manage post-shoot editing and retouching to ensure images are polished and ready for use on product pages, ad campaigns, and digital marketing materials. QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.
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This is an IC role, but the Staff level has significant leadership responsibilities that include owning, and driving strategic roadmaps & priorities to completion by collaborating with relevant cross functional stakeholders.
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Rust experience: 2+ years of Rust experience ideally in a production environment. Requirements: Software engineering experience: 5+ years of software engineering experience with a decent amount of software deployed to production.
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You will ultimately be responsible for the design, build, and maintenance of scalable machine learning infrastructure for deploying large models in production environments, and will optimize algorithms and pipelines to efficiently handle extremely large, complex models, ensuring robustness, scalability, and performance.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience conducting experimentation in production — formulating and testing hypotheses to assess the impact of anti-abuse automation including both rules and machine learning models. Adaptive Data merges together strengths of Data Science, Machine Learning, and Anti-Abuse Engineering to keep users safe.
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Experience with production-level SW development, including Continuous Integration/Continuous Delivery (CI/CD) using modern FOSS/COTS toolsets. Experience with SW Design, code, integration, and test of production systems.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building low latency and complex machine learning systems at scale and have driven execution from ideation to production implementation. 8+ years of experience as a Machine Learning Engineer or Data Scientist.
$270,400 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Lead Linux Kernel and driver development, system architecture design, production support, and cross-functional collaboration. You Will Thrive In This Role If You Have: 10+ years of related experience building and operating at scale in a production environment.
$320,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Or Rust in a production environment. Wellbeing benefits (One Medical, Rightway, Headspace) Powered by a decentralized, fast, scalable, and uniquely sustainable network made for financial products and services and a thriving and passionate ecosystem that includes a non-profit organization driven by a mission, Stellar is paving the path to unlock the world's economic potential through blockchain technology.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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7+ years of experience in a production environment - 0ur stack is Python, Django, React, MongoDB, and AWS (nice to have but not required) Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
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Domain knowledge and experience with work flows and pipelines for media production: digital asset management and namespaces, familiarity with 3d frameworks, universal scene description, scene graphs, layers and models, 3d data packaging, rendering work flows, image composition, tools used in the workflow by artists, engineers, editors and content creators is highly desired.
$223,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Proven ability to lead and scale projects from prototype to production with hands on experience working on user-facing products. Ideally, hands-on experience with model training, fine-tuning, evaluation, and risk mitigation in production environments.
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production job Title: staff in San Francisco, CA, Us
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