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We are looking for a senior Machine Learning Engineer with deep expertise in attribution space (just like you!) Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios. The ideal candidate is an expert in applying artificial intelligence and machine learning to the challenges of autonomous navigation.
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Experience in working with technical experts outside of traditional software engineering, particularly electrical engineers and physicists. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.
$123,191 - $161,289 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. You will lead and be part of an engaging, dynamic, and inclusive engineering organization, grounded in scrum and agile practices, with strong collaboration between squads, and motivated by a commitment to continuous learning and improvement.
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Our Civil Engineering Team in Seattle or Tacoma has an opportunity for a talented Stormwater Project Engineer. Our talented team have an array of skills ranging from construction management, civil engineering, transportation planning, environmental, landscape architecture and urban design, and surveying and geospatial services.
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The Technology organization works to influence WMG’s strategy and optimize day-to-day operations through data, insights, workflow, and machine learning, including generative AI. This position sits within the Technology organization, working closely with colleagues across WMG’s recorded music and songwriting/publishing businesses.
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Stay up to date on state-of-the-art machine learning methodologies and their applications in cell engineering and drug discovery. + Extensive experience developing, implementing, and training novel and scalable machine learning architectures on large multi-modal datasets in either scientific research or product development settings.
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This role is for a machine learning engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.
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Machine Learning Engineer, Applied Science and Technology, Environmental AI. You are a machine learning engineer passionate about AI for Earth. We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them.
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The Engineering department, under the supervision of the Chief Engineer, is responsible for the operation, maintenance and repair of all vessel engineering systems and processes, diesel propulsion and electric generating systems, deck hydraulic and pneumatic systems, Refrigeration systems, and fuel and lubrication systems.
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B.S. in Electrical Engineering, Physics, Acoustics, or equivalent experience. We are looking for an Electrical Engineer to help bring cutting edge virtual, augmented, and mixed reality experiences and hardware to life.
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Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs in preferred ACADEMIC CREDENTIALS: BS with several years of related experience or MS with years of related experience or PhD with years of related experience in Computer Engineering or Electrical Engineering or Computer Science or related equivalent from top universities #LI-RL1 #HYBRID At AMD, your base pay is one part of your total rewards package.
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The candidate must hold a Ph. D. or foreign equivalent in Materials Science, Applied Physics, Physics, Electrical Engineering, Physical Chemistry or related fields. The Department of Materials Science and Engineering, College of Engineering, University of Washington is seeking qualified candidates for a full-time, 9-month (Sept 16-June 15), tenure-track Assistant Professor position in the areas of experimental quantum material science and engineering, encompassing quantum information, quantum simulation, quantum sensing, and quantum matter, broadly defined.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solid ML background and familiar with standard NLU, NLG, and LLM techniquesPREFERRED QUALIFICATIONS- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 4+ years experience in building conversational AI and/or natural language processing systems.
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machine learning engineer electrical engineering jobs Title: frontend software engineer in Seattle, WA
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