Senior Software Engineer, AI/ML, Google Workspace

Experteer Overview In this role you will develop and test product and system software at Google, collaborating across teams to uphold high coding and design standards. You will triage issues, contribute to docs, and implement ML-focused solutions that scale. You’ll work on AI-driven productivity tools and infrastructure, shaping how billions of users connect and interact with information. This is a versatile, fast-paced environment that rewards leadership and cross-functional collaboration, with a strong focus on impactful, scalable technology. Compensation / Benefits * Write and test production-grade code and systems * Collaborate in design and code reviews to promote best practices * Contribute to documentation or educational content and adapt to updates * Triage issues and debug across hardware, network, or service operations * Design and implement ML solutions and leverage ML infrastructure * Support model deployment, evaluation, optimization, and data processing * Engage in end-to-end software design and architecture * Work on projects critical to Google’s needs with potential team switches Tasks * Bachelor’s degree or equivalent practical experience * 5 years of experience programming in Python or C++ * 3 years of experience testing, maintaining, or launching software products * 1 year of experience with software design and architecture * 3 years of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or other ML field * 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * bonus target * equity * benefits

Google’s software design and architecture * Work on projects critical to Google’s needs with potential team switches Tasks * Bachelor’s degree or equivalent practical experience * 5 years of experience programming in Python or C++ * 3 years of experience testing, maintaining, or launching software products * 1 year of experience with software design and architecture * 3 years of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or other ML field * 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging) Key requirements * bonus target * equity * benefits