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Experience with deep learning frameworks such as Pytorch or Tensorflow. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
$7,650 - $11,333 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL. and CUDA C. Ideal candidates have a background in optimizing robotics software on embedded systems (especially NVIDIA Jetson), as well as strong software engineering skills.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more. Alluxio is trusted by Meta, Uber, Tencent, Tiktok, Alibaba, Expedia, Rakuten, Microsoft, Walmart, and more.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) and a solid understanding of neural network architectures for tasks like image recognition, segmentation, and generative modeling.
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Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT. Experience withspecialized libraries, languages, and frameworks like Pytorch, TensorFlow, OpenCV, PCL, CUDA, TensorRT.
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Fluency with PyTorch, TensorFlow, or JAX. You will collaborate with engineers on Perception, Prediction, Planning, Simulation, and Systems Engineering to solve the overall Autonomous Driving problem in complex urban environments.
$221,000 - $319,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years experience with machine learning APIs and computational packages like XgBoost, Pandas, TensorFlow, Scikit-Learn, NumPy, SciPy. As part of Trust & Safety within the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and.
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And familiar with commonly used deep learning frameworks (such as PyTorch, TensorFlow, etc). Pursuing a master's or doctoral degree in Computer Science, Computational Linguistics, Artificial Intelligence, or related fields.
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Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems.
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Candidates are expected to work independently and acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.
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Knowledge of Deep Learning implementations for imaging (e.g. Super-resolution, deconvolution, Denoising Diffusion generative models, NERF models, GANs, latest mobile-friendly CNN architectures, Image Transformers etc) with PyTorch or Tensorflow.
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Research experience in machine learning, deep learning, computer vision and/or natural language processing. Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science.
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And familiarity with TensorFlow and ONNXRuntime Experience with deploying machine learning models on bare-metal Linux servers. Build, improve, and deploy machine learning models using TensorFlow and ONNXRuntime.
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Familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch). Founding Compute Physics Engineer - CUDA/GPU. Strong background in machine learning algorithms, deep learning, and natural language processing.
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tensorflow job in Redwood City, CA
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