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Their innovative projects harness the power of wind, solar, and other renewable resources to create a cleaner, more sustainable future for generations to come. Juris Doctor (JD) degree from an accredited law school.
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Our continuously expanding network of physical therapists harness Luna's cutting-edge technology everyday to deliver personalized at-home outpatient care. Luna takes pride in partnering with esteemed healthcare providers such as Emory Health, Scripps Health, UCLA Health, and Intermountain Healthcare, solidifying our commitment to exceptional healthcare delivery.
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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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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Medical specialties: Geriatrics, Home Health, Neurology, Orthopedics, Physical & Rehabilitation Medicine, Sports Medicine. Schedule: Choose your own hours. Often we find that PTs feel burnout and exhaustion from their career path.
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Ideal Candidate This Intern role within the organization is a Natural Gas Operations Intern based in Princeton, NJ. NRG is looking for self-driven, high-caliber individuals who can grasp complex commercial issues and harness information to deliver solutions.
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Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. At least 4 years of experience programming with Python, Go, Scala, or Java.
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Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure.
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At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems. You will work on a wide range of initiatives, whether that’s designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for real-time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure.
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Luna's Safety Shield for a convenient and safe experience for our PTs. This innovative approach aims to eliminate burnout for physical therapists. Built for PTs to focus on what matters most. We are looking for experienced and collaborative clinicians to provide outpatient PT services to patients in their homes in the Goodyear area (and other nearby locations.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning. At least 1 year with LLM based conversational AI systems.
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As part of the Wiring Harness Design team, you will design, package, and manufacture world class, integrated wiring systems that enable that transformation. 5+ years of experience in Wiring Harness design.
$80,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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314 Main Street (21020), United States of America, Cambridge, MassachusettsSenior Lead Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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At least 6 years of experience programming with Python, Go, Scala, or Java. Center 1 (19052), United States of America, McLean, VirginiaLead Engineer - Generative AI Product Engineering (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
$8 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
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