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Familiarity with modern AI/ML platforms and libraries such as PyTorch, TensorFlow, and Jax. -Ph. D. in computer science with research experience in building/applying machine learning models during PhD/industry or postdoctoral experience in Machine Learning.
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An advanced degree (MS or PhD) in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field. Proficiency with at least one common Deep Learning framework (e.g. PyTorch, TensorFlow.
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Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet). - Currently pursuing a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
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Experience with tools of the trade, Python, ROS, Keras, Turi, Tensorflow Commercial deployment experience of Robotics SW in past products. Masters or PhD Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience required.
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Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models) of AI/ML frameworks and packages (e.g., TensorFlow, PyTorch, Scikit-learn, LlamaIndex, Langchain)Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
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5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing. Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
$185,000 - $283,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge of time series analysis, modeling and forecasting time series data and hands on implementation experience with machine learning frameworks (TensorFlow) Master’s or PhD degree in statistics, applied mathematics, physics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with 3+ years of relevant professional experience.
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Advanced degree (MSc or PhD) in statistics, mathematics, economics, applied science or equivalent STEM degree strongly preferred 8+ years of experience in a data science and analytics role 5+ years of experience either working as a data scientist, managing data scientists, or some combination thereof, with a focus on Marketing Optimization Analytics 2+ years of experience leading and mentoring teams that include highly educated (PhD) data scientists.
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Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Familiarity with programming languages such as Python and experience with machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face.
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Experience in ML frameworks such as PyTorch, JAX or TensorFlow. A PhD degree or equivalent in machine learning, computer science, artificial intelligence, or a related field. Experience in ML frameworks such as PyTorch, JAX or TensorFlow.
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Strong theoretical background + practical experience in Deep Learning with proficiency in PyTorch or Tensorflow. BS, MS or PhD in computer vision, machine learning, computer science, computer engineering or related fields.
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Plus: Master's degree (preferred PhD) in Artificial intelligence Computer Science, Data Science or another related field. ML Frameworks: TensorFlow, Pytorch, ONNX, etc. Experience in machine learning, computer vision, and image/signal processing techniques, including a strong background in deep learning such as object recognition, object detection, semantic segmentation, NLP, sequential data processing, audio processing, etc.
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Advanced degree (MSc or PhD) in statistics, mathematics, economics, applied science or equivalent STEM degree strongly preferred. 5+ years of experience with scripting (R or Python) and ML frameworks and libraries (e.g., caret, spark, scikit-learn, pandas, numpy, tensorflow, pytorch, keras, theano, seaborn, matplotlib, etc.
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Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX. Master's degree or PhD in NLP/speech synthesis/speech recognition or adjacent fields. Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.
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Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning. Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or Transformers.
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