Software Engineer II

Leverage robust experimentation frameworks and measurement solutions to evaluate user impact, optimize engagement, and drive product growth. Develop end-to-end product features from ideation to production, including client-side, service-side, and experimentation components that reach hundreds of millions of users. Leverage AI, machine learning, and large language model technologies to create personalized, context-aware experiences that help users discover and accomplish tasks more effectively. Transform behavioral signals, telemetry, and user feedback into actionable product improvements through data-driven engineering and experimentation. Partner closely with data scientists, product managers, designers, and researchers to rapidly prototype, validate, and scale innovative user experiences. Apply modern engineering practices to deliver highly reliable, performant, secure, and maintainable systems across diverse platforms and device types. Explore emerging technologies, including on-device AI, client-side models, reinforcement learning, and agentic experiences, to shape the future of personalized browsing. Analyze complex product and technical challenges, propose innovative solutions, and drive projects from conception through launch and iteration. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Familiarity with front-end performance optimization, telemetry, experimentation frameworks, and customer usage analytics. High enthusiasm, integrity, ingenuity, results-orientation, and self-motivation in a fast-paced environment. A deep passion and empathy for customers, leading to innovative problem-solving.