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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA.
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Interested in learning about machine learning, biochemistry, and the drug development process. - Keep up with deep learning research, especially pertaining to graph neural nets and graph generative models, and quickly prototype ideas gleaned from the literature.
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Research experience in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
$177,008 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit. 2HB is looking for a Machine Learning Engineer.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience with developing machine learning models at scale from inception to business impact.
$177,008 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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As a Machine Learning (ML) Engineering Manager Sr you will lead a team of ML Engineer and Software Developer's to deploy machine learning models in production environments at scale.
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My client is looking for an experienced Machine Learning Engineer strong with ML Fundamentals with expertise in training, fine tuning and improving leading edge deep learning models.
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Peraton seeks a Machine Learning Engineer to support the Multi Domain Task Force. Experience with Deep Learning platforms (e.g., PyTorch, TensorFlow, Jupyter Notebook.
$112,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences. You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AIML - Machine Learning Research Engineer, Foundation Models. + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
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Strong expertise in at least one or more of the following areas: Speech Recognition, Natural Language Processing, Reinforcement Learning, Generative AI, Language modeling, Knowledge Graph, Time-Series Analysis, or Generative AI. Experience with machine learning development lifecycle and deep learning methods such as Transformers, GANs , DQN, VAE , SHAP , Attention networks, Counterfactuals and Adversarial examples etc.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Deep technical knowledge of electric vehicle HV battery systems and charging technologies, methodologies, and controls.
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Machine Learning Applications Engineer. Experience with deep learning frameworks (such as PyTorch, Tensorflow) Experience with deep learning runtimes (such as ONNX Runtime, TensorRT.
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Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.
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