Join Google Cloud and contribute to the future of digital transformation. You will be instrumental in developing cutting-edge AI/ML solutions that empower organizations globally. This role offers the chance to work on impactful projects, collaborate with industry leaders, and continuously grow your expertise in a dynamic, fast-paced environment.
Google Cloud provides enterprise-grade solutions leveraging Google's advanced technology. We enable developers to build more sustainably and help businesses worldwide solve their most critical challenges. Be part of a team driving innovation and shaping the future of cloud computing.
Develop and meticulously test software products and systems, ensuring robust functionality and performance. Engage in collaborative design and code reviews, upholding best practices for code quality, accuracy, and efficiency. Contribute to and refine existing documentation, adapting content to reflect product updates and user feedback. Troubleshoot and resolve system issues by deeply analyzing their root causes and impact on operations and quality.
Spearhead the design and implementation of solutions within specialized ML areas, utilizing ML infrastructure and demonstrating deep expertise. This includes working with technologies related to speech/audio processing, reinforcement learning, or other ML specializations. You will be involved in the end-to-end machine learning lifecycle, from data processing to model deployment and evaluation.
A Bachelor's degree or equivalent practical experience is required. Possess at least 5 years of programming experience in Python or C++. Demonstrate 3 years of experience in testing, maintaining, or launching software products, complemented by 1 year of software design and architecture experience.
Furthermore, you should have 3 years of experience in at least one of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or another ML specialization. A strong foundation in end-to-end Machine Learning, including model deployment, evaluation, data processing, and debugging, is essential, requiring 3 years of relevant experience.
Technology