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Currently, we are looking for Software Engineer - Machine Learning Serving Infrastructure to join our team to support and advance that mission. - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch Script.
$123,120 - $184,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to computer vision and machine learning or data mining algorithms. Implement scalable and robust computer vision and machine learning services. Use the latest advances in computer vision, neural networks and machine learning to bring new experiences for our customers.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. More Info: Software Engineer - Simulation Workload Orchestration 8+ years of experience in a related fieldWeb Front-end for Simulation Framework (Foster City, CA)Role: Develop web front-end interfaces for simulation pipeline and tools.
$190,000 - $285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Apply modern engineering methodologies such as infrastructure as code, Linux container orchestration, and software-defined storage to scale Facebook's rapidly growing Enterprise infrastructure.
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The team also owns our Streaming Platform that is build using FlinkAs a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems.
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The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence.
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Experienced in at least one of the following areas: personalized recommendations, search engine, advertising, machine learning infrastructure, distributed storage system, big data frameworks.
$129,200 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At Apple, the AIML - On-Device Machine Learning group is responsible for accelerating the creation of amazing on-device ML experiences. This role provides a great opportunity to help scale and extend a significant ML benchmarking service used across Apple, in support of a range of devices from small wearables up to the largest Apple Silicon Macs. The role further offers a learning platform to dig into the latest research about on-device machine learning, an exciting ML front-tier.
$161,700 - $284,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. As a Senior Infrastructure Engineer, you’ll help build and maintain this critical infrastructure.
$153,003 - $200,321 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running.
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Additionally, proficiency in data engineering, machine learning, and data pipelines will be essential for success in this role. We are seeking a highly skilled Infrastructure Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads.
$110,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Engineer on our Finetuning Infrastructure team, you'll be responsible for the critical algorithms and infrastructure that our researchers depend on to train models.
$320,000 - $405,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a Sr. Machine Learning engineer on the Smart Home Machine Learning team, you will combine engineering best practices with your knowledge and experience with Machine Learning to lead the building of cutting-edge infrastructure components and platforms that are highly scalable, extensible and robust to enable exponential growth and adoption of Machine Learning applications within the Organization.
$134,500 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Machine Learning Infrastructure group at Stripe aims to provide state of the art infrastructure and support for building and operationalizing AI/ML models for all business verticals within the company, including but not limited to models that mitigate risks across Stripe’s products and services globally, and models that help our customers to fight fraud by leveraging Stripe’s user facing products like Radar and Identity.
$163,100 - $244,700 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
infrastructure machine learning jobs Title: infrastructure engineer in Seattle, Troy, New York
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