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This empowers operations teams for the first time to precisely and directly impact real-world business outcomes, including customer satisfaction and revenue. You will delve into a diverse array of ML technologies to drive innovative customer experiences.
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Google AdX, BigQuery, Machine Learning, and Programmatic Advertising. Conducting experiments on state-of-the-art machine learning models using Tensorflow for real world, large scale problems.
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Ideal candidates have a background in machine learning and computer vision, as well as strong software engineering skills. Work with the perception team to design, develop, and deploy computer vision and machine learning components for robotics on integrated hardware (like Nvidia Jetson and Intel Myriad.
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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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Design and implement machine learning algorithms for NLP/LLMs or deep learning models at scale to meet business requirements. Stay up-to-date with the latest developments in machine learning, NLP/LLMs, deep learning, and related technologies.
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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. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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5+ years shipping machine learning products (leveling to senior software engineer or Principal Software Engineer will be based on experience) As a Senior / Principal Machine Learning Engineer with the Creator Services Natural Language Processing Team, you will build NLP, speech and generative AI models and products and bring the latest machine learning technology to our creators and help them create experiences at scale.
$150Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
$150ExpandUpdated 30 days ago - UpvoteDownvoteShare Job
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Familiarity with customer success tools like Gainsight and Salesforce as well as other enablement platforms (Gong & Seismic) You will be the dedicated Enablement business partner to our Customer Success organization, working alongside senior leadership to fully understand the structure, needs, and goals of the organization.
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Oftware Developer 1 to join the Kundaje and Bassik labs in the Department of Genetics to lead and assist with collaborative software development, data analysis and research at the intersection of genomics, data science and machine learning.
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Experience with PDM & PLM software platforms (e.g., Siemens Teamcenter, PTC Windchill, Autodesk Vault, Oracle Agile, Arena) and familiarity with CAD software. As a Manufacturing Engineer, you will be responsible for the creation, maintenance, and optimization of CAD, PDM, PLM, and BOM processes and systems.
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You’ll be working directly with and learning from our Director of Software and Informatics, Stephen Enright. Skycart is looking for a software engineer to join our team and work on our mobile app and several other front-end and/or back-end projects.
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Ultimately, the Customer Success Manager will play a critical role in ensuring Dexterity's customers are successful in their use of robotics, helping to transform the world through breakthrough technology.
$150ExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to spearhead our next efforts to extract quantitative biological insights from millions of fluorescence microscopy images.
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We are looking for a Full Stack Engineer who is passionate about solving complex, meaningful problems to join our Core User Retention Team. Working closely with our brilliant product managers, software engineers, data scientists, designers, and operations teams, you will play a key role in improving customer retention for our core insurance shopping product and help make car ownership an effortless experience.
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