Machine Learning Engineer

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.

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