Snapshot

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.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, 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.

The Role

In order to set you up for success as a Staff Software Engineer in the Gemini App team, we look for the following skills and experience:

• 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.

About You

Individuals who thrive in ambiguity and have a shipping mindset. Willing to do whatever moves the projects forward.

In order to set you up for success as a Staff Software Engineer at Google Deep Mind, we look for the following skills and experience:

• 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

• Prior experience in a Tech Lead role leading a team

• Strong communication skills and a reliable team player

• Proven knowledge and experience of programing in Java, C++, or Python in production environments

In addition, the following would be an advantage:

• Strong data analysis skills

• Full stack (both backend and frontend) development experience

• Experience with ML, especially LLMs

• Ability to thrive and prioritize effectively in a fast-paced, dynamic environment with multiple stakeholders

The US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

At Google Deep Mind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.