Software Engineer, AI/ML, Google Research

Experteer Overview In this role you will write product or system code and contribute to scalable ML-powered features. You will collaborate with cross-functional teams to ensure best practices and high-quality delivery. You’ll help document and educate others while triaging and debugging issues impacting hardware, networks, or services. You will implement ML-focused solutions and contribute to model optimization and data processing to drive impact at scale. This opportunity offers exposure to cutting-edge research and product work within a fast-paced tech environment. Compensation / Benefits * Write product or system development code * Collaborate with peers and stakeholders through design and code reviews to ensure best practices * Contribute to existing documentation or educational content and adapt it based on updates and feedback * Triage issues and debug/resolve by analyzing sources and their impact on hardware, network, or service operations * Implement solutions in specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor’s degree or equivalent practical experience * 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree * 1 year of experience in ML-related areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) * 2 years of data structures and algorithms (preferred) * experience developing accessible technologies (preferred) Key requirements * bonus target * equity * benefits

_ areas, utilize ML infrastructure, and contribute to model optimization and data processing Tasks * Bachelor’s degree or equivalent practical experience * 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree * 1 year of experience in ML-related areas (speech/audio, reinforcement learning, ML infrastructure, or related field) * 1 year of experience with ML infrastructure (deployment, evaluation, optimization, data processing, debugging) * 2 years of data structures and algorithms (preferred) * experience developing accessible technologies (preferred) Key requirements * bonus target * equity * benefits