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Apple's Applied Machine Learning team has built systems for a number of large-scale data science applications. Join Apple's Applied Machine Learning Team, as a Senior Software Engineer, to enable GenAI across our Applications & Platforms.
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What Success Will Look Like: Being the leader. Examples of the brands Conviva has helped innovate, adapt, and scale at unprecedented speed include: DAZN, Disney+, HBO, Hulu, NBCUniversal, Paramount+, Peacock, Sky, Sling TV, Univision and Warner Bros Discovery.
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Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
$251,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record.
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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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. The Path Forward Return to Work program at Zoox is a 16-week paid returnship for experienced professionals returning to the workforce after taking time off for caregiving.
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber - the threat to US national security, above nuclear weapons.
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Our climate-focused project at X is hiring a geophysics machine learning engineer, who will work on defining and executing a set of geophysics computational and machine learning experiments.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Experience crafting machine learning models in cloud environments like AWS or GCP, with specific knowledge of Sagemaker being a plus.
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As Staff Machine Learning Engineer, you'll lead the technical execution of our ML pipelines with a focus on improving the overall end-to-end perception pipeline. Staff Machine Learning Engineer.
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You should have a strong track record of independently creating, implementing, and scaling ABM and demand generation tactics across the entire marketing funnel from awareness to retention, as well as comfort navigating the ambiguity inherent in a startup environment.
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This role will be tasked with applying machine learning/deep learning to the automotive industry. Machine Learning Development. Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.
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The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
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Deep expertise in one or more relevant fields (e.g., antibody biology, biophysics, biotherapeutic design, machine learning). Apply and advance artificial intelligence and machine learning (AI/ML) approaches, particular generative AI models, across stages of large molecule workflows, including molecular property predictions, AI-guided candidate selection and engineering.
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And machine learning including Deep Learning frameworks like TensorFlow/PyTorch. You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general.
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