Principal Engineer, AI Studio and Gemini API
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Computer Science or equivalent practical experience.
- 15 years of experience in software engineering, building and working with systems in technology organizations.
- Experience in Machine Learning or Artificial Intelligence.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Mathematics, or Engineering.
- Experience with large models (language or multi-modal).
- Knowledge of ML.
- Technical expertise in systems and software with the leadership skills to influence technical leaders across the company.
About the job
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.
Join Google DeepMind's high-visibility AI Studio and Gemini API team and play a pivotal role in shaping the future of AI development. As a Principal Engineer, you will be directly responsible for designing, developing, and deploying critical Gemini API features that empower developers worldwide. You'll collaborate closely with product managers, Technical Program Managers (TPMs), and fellow engineers, providing technical leadership and mentorship while maintaining a significant coding presence.
A conversational AI tool that enables users to collaborate with generative AI and help augment their imagination, expand their curiosity, and enhance their productivity.
The US base salary range for this full-time position is $294,000-$414,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Architect, design, and lead the development of highly scalable and robust Gemini API features and infrastructure used to externalize Gemini Models and their tooling ecosystem to external developers.
- Collaborate strategically with partner Product teams to advance LLM state-of-the-art techniques.
- Drive the scaling of the Gemini Model serving stack to work on many requests per day and support developers, identifying and resolving complex performance bottlenecks.
- Take end-to-end ownership of significant components within the entire lifecycle of the model serving stack, from research and internal testing to externalization via API and AI Studio.
- Serve as a Technical Lead (TL) for critical areas, such as the operationalization of Gemini models from research/internal testing to external developers in production.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.