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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. We are seeking a talented Data Scientist with a strong focus on LLM (Large Language Models) and Deep Learning to join our team.
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You’ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
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With a diverse blend of expertise in statistical analysis, machine learning algorithms, and retail operations , our team pioneers innovative solutions across the merchandising lifecycle, from demand forecasting and assortment planning to pricing optimization.
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As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence.
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Senior Machine Learning Engineer. Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling.
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The AI / Machine Learning team is building the industry's leading Machine Learning models for use cases at scale. Prior experience building and deploying machine learning models in production at scale.
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Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack. BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience.
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Proficient with ML frameworks such as Tensorflow, Keras, JAX.Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
$105,000 - $134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Software Engineer on the Ads Measurement team, you will build scalable tech foundations, launch various products to extract real signals, and offer scientific methodologies to help advertising effectiveness.
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The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions.
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Responds to alerts or issues and facilitatesappropriate resolutions within the SLA. Design using PyTorch, transition and deploy of enterprise scale intelligent applications driven by Artificial Intelligence, Deep Learning, Machine Learning algorithms and Natural Language Processing to various private and public clouds for intelligent promotion recommendations.
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We are looking for a Senior Developer Relation Manager to drive strategic partnerships with ISVs and developer communities who are building AI enhanced engineering and scientific simulation platforms, applications, solutions, or services with Physics Informed Machine Learning.
$180,000 - $339,250 a yearFull-timeExpandApply NowActive JobUpdated Today
team building services machine learning jobs Title: data engineer in Cupertino, CA
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