Join us in bringing state-of-the-art generative AI models to users around the world through Google's Gemini App. You will build innovative features leveraging cutting-edge multimodal Gemini models, to help the user succeed in their everyday journey.
About UsArtificial 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.
The RoleIn order to set you up for success as an Senior Software Engineer in the Gemini App team, we look for the following skills and experience:
Key Responsibilities:- Understand the critical user journeys of our target user segments (such as small business owners) and improve their user experience
- Lead the full-stack implementation, from front-end, back-end, to the model, to deliver high quality products
- Collaborate with researchers to understand cutting-edge innovation and improvement in generative AI, and apply it to the app
- Conduct in-depth data analysis to identify headroom for the user journeys, and develop a strategy to design and implement solutions to improve the quality
- Work together with the teams responsible for model development to enhance and refine model performance
In order to set you up for success as a Senior Software Engineer at Google DeepMind, 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 software engineering projects from prototype to production
- Strong communication skills and a reliable team player
- Proven knowledge and experience of programing in Java, C++, or Python in production environments
- Individuals who thrive in ambiguity and have a shipping mindset
- Willing to do whatever moves the projects forward
In addition, the following would be an advantage:
- Strong data analysis skills
- 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 $166,000 - $244,000 + 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 DeepMind, 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.
Top Skills
What We Do
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. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
