Software Engineer, AI/ML, Google Lens

Experteer Overview As a Software Engineer, you build automated evaluation and telemetry pipelines for conversational AI at scale. You collaborate across cross-functional teams to ensure robust, efficient systems and contribute to documentation and onboarding. You triage production issues, debug impacts on hardware, network, and services, and implement ML solutions to optimize models and data processing. This role combines core software engineering with ML infrastructure in a fast-moving environment to advance multimodal interactions for billions of users. Compensation / Benefits * Develop automated evaluation and telemetry pipelines for conversational AI * Participate in design and code reviews to promote best practices * Contribute to documentation and onboarding content * Triage, debug, and resolve production issues affecting system quality * Implement ML solutions and contribute to model optimization and data processing * Work across cross-functional teams to align on product and technical decisions Tasks * Bachelor in Computer Science, Software Engineering, Mathematics, or related field; or equivalent practical experience * 2 years of software development experience in Python, C++, or Java (or 1 year with advanced degree) * 1 year of experience in one or more: Speech/audio, reinforcement learning, ML infrastructure, or related ML field * 1 year of experience with ML infrastructure or automated data pipelines * 1 year of experience with telemetry systems, event logging, or applying statistics in production software Key requirements * equity * bonus target 15% * benefits * Career growth opportunities * work with cutting-edge AI

technical decisions Tasks * Bachelor in Computer Science, Software Engineering, Mathematics, or related field; or equivalent practical experience * 2 years of software development experience in Python, C++, or Java (or 1 year with advanced degree) * 1 year of experience in one or more: Speech/audio, reinforcement learning, ML infrastructure, or related ML field * 1 year of experience with ML infrastructure or automated data pipelines * 1 year of experience with telemetry systems, event logging, or applying statistics in production software Key requirements * equity * bonus target 15% * benefits * Career growth opportunities * work with cutting-edge AI