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Google • Seattle, WA, USA
Google is seeking a Software Engineer III specializing in AI/ML to contribute to innovative projects in machine learning and model optimization. You'll work with technologies like Python and machine learning infrastructure. This role requires 2+ years of software development experience.
You have a Bachelor’s degree or equivalent practical experience, along with at least 2 years of experience in software development using one or more programming languages. If you hold an advanced degree, you may qualify with just 1 year of experience. You possess a solid understanding of machine learning concepts, having spent at least 1 year working with ML infrastructure, including model deployment and optimization. Your experience also includes working with data structures and algorithms, which you have applied in practical scenarios. You are familiar with developing accessible technologies and have the ability to perform feature engineering and analyze data for ML model development. You thrive in collaborative environments and are eager to contribute fresh ideas to advance technology.
A Master's degree or PhD in Computer Science or related technical fields is preferred. You have 2 years of experience specifically with data structures or algorithms, and you are comfortable running experiments and using experimental results to improve model performance. Your background may include experience in speech/audio technologies or reinforcement learning, which would be a plus.
As a Software Engineer III at Google, you will work on critical projects that push the boundaries of machine learning technologies. You will contribute to creating test evaluation datasets and autoraters, helping to enhance the capabilities of Gemini in Chrome. Your role will involve running live experiments, deploying models in production, and utilizing experimental results to refine model performance. You will implement solutions in specialized ML areas, leveraging your expertise in ML infrastructure to optimize processes and enhance data processing capabilities. Collaboration with cross-functional teams will be key, as you will partner with other engineers to develop next-generation technologies that impact billions of users. You will also have opportunities to ideate, execute, and evaluate experiments, contributing to the overall success of Google's innovative projects.
At Google, you will be part of a dynamic team that values creativity and innovation. You will have access to cutting-edge technologies and the chance to work on projects that have a significant impact on how users connect and interact with information. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Our culture promotes continuous learning and growth, providing you with opportunities to advance your career while making meaningful contributions to the field of machine learning.
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