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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
$140,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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You can speak confidently and influence opinion both at VP level and with junior engineers on the application and opportunities of Machine Learning and Generative AI. You are familiar and have hands-on experience using large language models, transformer architectures, and recent innovations.
$200ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience of building machine learning models for business application. Theoretical understanding of broad machine learning concepts, with deep and demonstrable expertise in at least one topic or application of machine learning.
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7+ years of experience with machine learning, AI, or GenAI/LLM in a business development/partner capacity. You will drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock, interact with customers directly to understand their business problems, and work with and model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them.
$140,800 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a principal machine learning engineer in the machine learning platform team, you will collaborate with ML engineers, software engineers, and product managers to ensure the ML Platform can quickly adapt to the needs of evolving AIML landscape at Apple.
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As a Principal Machine Learning engineer, you will drive the development and implementation of cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build transformative developer AI products and services.
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Knowledge in machine learning, natural language processing, data mining, predictive analysis, or information extraction. This role is part of the Blue Origin Engines business unit, where our focus is the design, development, manufacturing, and testing of engines and propulsion systems.
$200,858 - $281,200 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience building and scaling machine learning models in business applications using large amounts of data. Experience in developing deep learning-based models and working on LLM-related applications.
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As a Principal Product Manager, Generative AI & Machine Learning, you will lead the development and strategy for New Relic's generative AI & ML platform. Effectively shepherd the development and maturation of New Relic AI features and platform, from ideation through to production scaling and monetization.
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Spice AI is also building the Spice.ai Cloud Platform; building blocks for data and AI-driven applications, including managed, cloud-scale Spice.ai OSS. The Cloud Platform enables developers to compose high-performance SQL query, machine learning training and inferencing, in a single, interconnected AI backend-as-a-service.
$205,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Good understanding of Machine Learning methods and Statistics, including data science project lifecycle and associated challenges at each stage of development. 10+ years of industry experience and a passion for crafting, analyzing and deploying machine learning-based solutions in production environments.
$204,400 - $323,400 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Playback Development & Operations Principal Scientist is a subject matter expert recognized as a thought leader in a particular science discipline at a global level. Hands-on experience with popular deep learning frameworks such as MxNet and Tensor Flow.
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