Senior Software Engineer, GeminiApp Response Quality
About The Position
Join us in delivering state-of-the-art generative AI to global users through the Gemini app. In this role, you will directly improve Gemini App response quality, ensuring it provides intuitive, high-value support for users throughout their daily lives. Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. As a core member of the Gemini App Response Quality team, you will be responsible for ensuring that the Gemini App delivers high-quality, reliable responses across all user segments and key user journeys. You will serve as the primary Eng PoC for various quality improvement initiatives that drive the end-to-end quality bar, ensuring responses are helpful, accurate, and high-utility across diverse user intents. Analyze user pain points and behavioral data to refine the quality improvement roadmap. You will prioritize engineering solutions by partnering with Gemini Model team, PMs, and UX Research to bridge the gap between model capabilities and user-facing product impact. As the strategic PoC for Safety, you will spearhead the development of response frameworks for safety-sensitive topics with a dedicated focus across all user segments including your users. Your mission is to build a secure, inclusive environment where our young users can explore the best of AI technology without compromise. Individuals who thrive in ambiguity and have a shipping mindset. Willing to do whatever moves the projects forward.
Requirements
- BS, MS or PhD degree in Computer Science, similar technical field of study or equivalent practical experience
- Experience working on LLM product, data or evaluation
- Strong communication skills and a reliable team player
- Proven knowledge and experience of programing in Java, C++, or Python in production environments
Nice To Haves
- Strong data analysis skills
- Experience with ML, especially LLMs
- Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders
Responsibilities
- Ensuring that the Gemini App delivers high-quality, reliable responses across all user segments and key user journeys.
- Serve as the primary Eng PoC for various quality improvement initiatives that drive the end-to-end quality bar, ensuring responses are helpful, accurate, and high-utility across diverse user intents.
- Analyze user pain points and behavioral data to refine the quality improvement roadmap.
- Prioritize engineering solutions by partnering with Gemini Model team, PMs, and UX Research to bridge the gap between model capabilities and user-facing product impact.
- Spearhead the development of response frameworks for safety-sensitive topics with a dedicated focus across all user segments including your users.
- Build a secure, inclusive environment where our young users can explore the best of AI technology without compromise.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
