Staff Engineer - Web Tech Lead, GeminiApp - Mountain View

Reposted 7 Days Ago
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Mountain View, CA, USA
In-Office
197K-291K Annually
Senior level
Artificial Intelligence
The Role
Lead the technical implementation of the GeminiApp web application, mentor engineers, and ensure high-quality feature delivery while aligning with product and UX teams.
Summary Generated by Built In

Snapshot:

Bring groundbreaking AI capabilities to life in the Gemini App. Join Google DeepMind's mission to advance science and benefit humanity by solving intelligence.  GeminiApp is one of the highest investment areas across Google and we are seeking an experienced TL to provide technical leadership and build a cutting-edge web application that will redefine how billions of users interact with AI. Our team is the driving force behind many of Google's most ambitious and impactful AI breakthroughs, working in a fast-paced, creative atmosphere where features are delivered to users in very short timeframes.

About Us:

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 Role:

You will be the designated TL and lead the technical implementation of the GeminiApp web application, with a focus on the visual response rendering that is used across all the GeminiApp teams.  You will lead a team of engineers spanning from the web client to the backend services.

Web Platform Stewardship

  • You will be the key owner of the interface powering the Gemini machine learning models responses and how it is presented to the user

Architectural Excellence

  • As a horizontal team, you will build bullet proof web frameworks that are used by our team internally and externally to interface with XXXM+ DAU

UI/UX Innovation

  • Collaborating closely with UX, PM, and other cross-functional partners, you will serve as a thought leader in the evolution of GeminiApp into a natively AI-driven application, effectively bridging the gap between imaginative vision and technical feasibility.

Technical Leadership

  • Direct the day-to-day execution of a high-tempo engineering team, unblocking complex technical challenges and ensuring the timely launch of performant, high-quality features.

Strategic Cross-Functional Alignment

  • Serve as the primary technical partner for Product, UX, and Backend teams, influencing server-side infrastructure and translating ambiguous product goals into actionable technical strategies.

About You:

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

Requirements :

  • Proven experience as a technical lead with a track record of leading high-performing web-application engineering teams.
  • Extensive professional experience and expert-level proficiency in web applications/mobile mobile development, with a history of shipping complex, user-facing applications at scale.
  • Experience leading the delivery of large-scale technical projects, defining team roadmaps, and making critical architectural decisions in collaboration with product and UX partners.
  • A passion for developing engineers, with direct experience in mentoring and career growth development
  • Excellent collaboration and communication skills, capable of representing the team and driving alignment with senior leadership and non-technical stakeholders.

In addition, the following would be an advantage: (require maximum of 5 and minimum of 3 items)

  • Experience with Websockets/Real Time Applications
  • Demonstrated Javascript/Typescript expertise
  • Familiarity with LLM systems and AI integrations into consumer applications
  • Experimentation Frameworks

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.

Top Skills

Ai Integrations
JavaScript
Typescript
Websockets
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The Company
1,218 Employees
Year Founded: 2010

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.

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