Bring groundbreaking AI capabilities to life in the Gemini App. Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence. We're seeking an experienced TLM to provide technical leadership and build cutting-edge Gemini applications that will redefine how billions of users interact with AI. We are the driving force behind many of Google's most ambitious and impactful AI breakthroughs.
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.
The Gemini App is the interface for Google’s most advanced AI capabilities, spanning multiple surfaces including web, mobile, and smart devices. Our team creates the user-facing experiences that will define how millions of people interact with AI every day.
You are a product-minded mobile tech lead, passionate about defining how people will interact with AI on a global scale. You excel at leading teams to build and ship high-quality native applications (Android or iOS). You have a proven track record of owning the architecture for complex, user-facing features, thriving in the ambiguity that comes with building novel UIs for emerging technologies. As a deep expert in native mobile, you also command the server-side knowledge needed to design the APIs and supporting services that unlock powerful and responsive user experiences, all while mentoring the engineers around you to elevate their craft.
You are a seasoned mobile engineer who thinks at a system-level, consistently navigating ambiguity to deliver elegant and robust solutions. Your influence extends beyond your own code; you elevate the skills of the engineers around you through mentorship and by championing technical excellence. You have a product-driven mindset and a passion for craftsmanship, with a history of leading the architecture of successful mobile apps. While you are an expert in native mobile development, you also possess a strong command of the server-side, enabling you to design and build the supporting infrastructure that unlocks powerful client-side features. Familiarity with ML systems and LLM concepts is a plus but not required.
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 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.
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science and benefit humanity.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Be the first to apply. Receive an email whenever similar jobs are posted.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Staff Engineer Q&A's