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Research, design and implement novel, highly scalable Deep Learning DL algorithms with focus on various kinds of data e.g., image thermal depth sensor, Lidar, acoustic, graphs, tables, etc. At this Lab., one of the first groups to adopt deep learning for autonomous systems in the Silicon Valley, we work at the leading edge of deep learning and collaborate with the world’s best universities and research centers.
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We are seeking a highly motivated and skilled Applied Research Engineer to join our team. Applied Research Engineer - Multimodal LLMs. We balance research and product to deliver Apple quality, state-of-the-art experiences, innovating through the full stack, and partnering with HW, SW and ML teams to influence the sensor and silicon roadmap that brings our vision to life.
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As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. Google Research is building the next generation of intelligent systems for all Google products.
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As an Engineer: efficiently train frontier and foundation multimodal large language models. Implement Novel Techniques: Research and apply cutting-edge parallelism techniques like Flash.
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As a safety research engineer focused on quantitative risk assessment, you will help Zoox to improve and expand our existing safety risk assessment framework. You will lead research efforts to improve the quantitative risk assessment methodology.
$282,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Research engineers in this role focus on developing large-scale training datasets, optimizing training processes, and innovating on model architectures to push the boundaries of what our models can achieve in enterprise environments.
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The Research Engineer will diagnose and hypothesize aging mechanisms in polymer electrolyte membrane electrolysis cells based on available experimental data. The candidate should have a proven research track record and a strong foundation in electrochemistry, preferably electrolysis.
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Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization, planning, reactive control, self-supervision, active learning, learning from demonstration, simulation and transfer learning, and real-world adaptation.
$218,213 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Machine Learning Research Engineer, your ultimate goal will be to build AI systems that deeply understand and innovate within the semiconductor and electronics domains, serving our customers.
$400,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Recent experience in, and understanding of, visual AI, including diffusion models and transformers (note: can be from professional work, academic research experience, or hobby work with open source models like Stable Diffusion.
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Publish research work in the form of patents and conference/journal publications. Drive applied research in the area of next generation communication and sensing systems. Experienced in using different machine learning libraries and tools (e.g. TensorFlow.
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As an Applied Research Scientist, you will innovate and translate cutting edge research into user experiences. PhD + 2+ YOE working on applied research on Computer Vision tasks. Contribute to novel research on topics of interest to Snorkel AI by collaborating with other Snorkel Research scientists and affiliate scientists (academic, government, and industry researchers.
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Samsung Research America Digital Health Team is looking for an outstanding Ph. D.-level Senior Research Engineer with solid ML/AI/Generative AI/Large Language Model technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development.
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As a Research Engineer specializing in Machine Learning and Systems Engineering at our company, you will be instrumental in pioneering sophisticated AI solutions. Lead and manage end-to-end machine learning research projects, from conceptualization to deployment, ensuring that they align with strategic business goals.
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You will work collaboratively to improve our models and iterate on novel research directions, sometimes in just days. We work with some of the world's largest automotive manufacturers and we've raised over $100M from Honda, Goodyear Ventures, Mando, and others to help us scale.
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Title: research engineer in Palo Alto, CA
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