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Deep knowledge of Autonomous Driving Behavior including Reinforcement Learning modeling: different forms of guidance, sampling optimization, probability estimation Imitation vs Reinforcement Learning specifics Planning vs Selection Prediction vs Planning Open vs Closed loop Closed-loop training Hierarchical Planning Transformer Decoding.
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Knowledge in using at least one deep learning framework, e.g. Tensorflow, Pytorch, JAX. Be able to understand deep learning algorithms, e.g. computer vision, NLP, behavior planning. Our team provides solutions to empower machine learning development in Nuro and optimize on-cloud training and onboard inference.
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Ability to foster innovation by leading teams with a growth mindset of experimentation, learning, and iteration.
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5 years experience in Computer Vision, Machine Learning, Optimization, Machine Intelligence (Artificial Intelligence) with at least two years of experience in applying these techniques in the areas of chemistry and materials science.
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Reporting to SVP, Engineering, the Director, Data will oversee the data team (Data Science and Data Reporting Operations), leading the development and implementation of critical reporting products, advanced analytics, machine learning models, and data-driven strategies.
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Must be currently doing research at the interface of geophysics/seismology and machine learning. Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention and more.
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You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics (bonus), and have some familiarity with the state of the art in ML for autonomous driving and data utilization (bonus.
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Strong technical skills associated with biosignal time-series analysis, including signal processing, machine/deep learning, advanced statistics, and data visualization. Apply signal processing, machine learning, and statistical analysis to decode biosignals.
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Technical Skills: 5+ years of experience with infrastructure tooling such as Terraform, Kubernetes, Python, Go, or Java. Machine Learning: Familiarity with machine learning concepts and frameworks, including dense information retrieval.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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You will also work closely with our software, hardware and photonics teams to define and optimize the features needed to accelerate the next generation of machine learning algorithms. In this role, you will be defining the SoC architecture for a ground-breaking platform that integrates our high performance silicon-photonics-based network fabric with a custom machine learning accelerator.
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Occupying a critical junction between machine learning and embedded systems, you will lead the strategic direction and provide comprehensive oversight to a team committed to enhancing the efficiency and performance of our autonomous vehicle (AV) AI models to ensure their maximal performance on automotive embedded compute platforms.
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Reporting into our Senior Director, Head of Talent & Learning , this person is the Business Partner to our Product, Data and Project Management teams and is responsible for several global employee experience and talent programs.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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. including large-scale data processing, parallel programming, code optimization and machine learning including Deep Learning frameworks like TensorFlow/PyTorch.
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learning job Title: director of engineering in Mountain View, Troy, New York
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