Machine Learning Engineer
1 month ago
Our client’s team seeks a Machine Learning Engineer to advance the development and improvement of our software foundation and tools vital for training state-of-the-art AI models. Your role will be centered on creating strong, scalable, and efficient training infrastructures and frameworks facilitating the full spectrum of the machine learning process, from handling data to deploying models. In collaboration with researchers and software engineers, you’ll ensure that training systems are smoothly integrated and functioning, expanding the limits of AI’s capabilities, especially in practical robotics scenarios. Additionally, you will investigate innovative methods to effectively utilize diverse datasets within our training framework. Responsibilities: Create and uphold efficient, scalable, and distributed training systems—including data preprocessing, training orchestration, and model assessment—for training large-scale AI models. Enhance the efficiency of training procedures to improve performance and use of resources, while maintaining scalability and dependability. Collaborate with researchers to create training and evaluation pipelines for state-of-the-art algorithms. Develop and design benchmarks for evaluating ML models. Perform training and fine-tuning of foundation models for robotic applications. Monitor and analyze pipelines, identifying bottlenecks and proposing solutions to improve efficiency and performance. Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration. Preferred Qualifications: BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing. Deep understanding of state-of-the-art machine learning techniques and models. Experience with cloud-based training environments (AWS, Google Cloud, Azure). Experience in developing and maintaining software tooling and infrastructure for machine learning. Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design. Experience with continuous integration and automated testing frameworks. The target hiring compensation range for this role is $77.22 to $85.80 an hour. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location. About Aquent Talent: Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands. Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. Client Description: Our client is a large technology company based in Redmond, Washington with a mission to empower every person and every organization on the planet to achieve more. They develop computer software, consumer electronics, personal computers, and related services. This company enables digital transformation for the era of an intelligent cloud and an intelligent edge. #J-18808-Ljbffr
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Seattle, United States Apple Full timeMachine Learning Engineer, Applied Machine Learning Seattle, Washington, United States Corporate Functions Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's...
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Seattle, Washington, United States Thomson Reuters Full timeBecome a Machine Learning Engineer at Thomson ReutersWe are seeking an experienced and skilled Machine Learning Engineer to join our team and contribute to the development of scalable and efficient machine learning solutions. As a key member of our engineering team, you will work closely with senior engineers to design and implement machine learning models...
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Seattle, United States Apple Full timeMachine Learning Engineer, Applied Machine Learning Do you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied...
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Seattle, United States Apple Full timeMachine Learning Engineer, Applied Machine LearningSeattle, Washington, United StatesCorporate FunctionsDo you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no...
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Machine Learning Engineer, Applied Machine Learning
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Seattle, United States Apple Inc. Full timeMachine Learning Engineer, Applied Machine LearningDo you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied...
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Seattle, United States Apple Inc. Full timeMachine Learning Engineer, Applied Machine LearningDo you want to work on building groundbreaking ML technologies and make real world impact? At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied...
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Seattle, United States Tubi Tv Full timeTubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate...