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Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. As a Director, Software Engineering you will be responsible for leading a group of engineering managers and their respective engineering squads within the Identity Engineering organization.
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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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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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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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Strong software development and Machine Learning knowledge are both critical to this role. 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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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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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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5+ years of software engineering experience developing backend applications. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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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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Fluency in using mathematical optimization or machine learning, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep learning, to develop solution methods to be used by in-house decision support tools and software.
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We highly value the machine learning research, academic, and engineering communities and we believe in fostering meaningful collaborations between them. Machine Learning Engineer, Applied Science and Technology, Environmental AI.
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
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We are seeking a Software Engineer with a strong background in cloud services and infrastructure, who is passionate about security, automation, scalability, and reliability. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
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machine learning software electrical engineering jobs Title: frontend software engineer in Seattle, WA
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