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For Companies At a Glance
- Tasks: Develop innovative AI features for the Gemini app and tackle exciting technical challenges.
- Company: Join Google DeepMind, a leader in advancing artificial intelligence for public benefit.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Be part of groundbreaking AI projects that make a real-world impact.
- Qualifications: Experience in mobile development (Android/iOS) and strong full-stack skills required.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Snapshot
Bring groundbreaking AI capabilities to life on gemini.google.com.
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
Develop the new feature for gemini.google.com by integrating its innovative AI capabilities.
Key responsibilities:
- Driving cutting-edge model enhancements to gemini.google.com users, with constrained timeline.
- Resolve technical challenges and deliver high-quality products, while adhering to legal, privacy, latency, and TPU cost constraints.
About you
In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:
- Previous experience on Android / iOS
- Proven track record in developing and successfully launching user-facing features.
- Demonstrated full-stack capabilities, encompassing both frontend and backend development.
- Strong aptitude for system design.
- Experienced full-stack engineers skilled in user-facing product development, encompassing client (Android / iOS) and backend services.
- Demonstrates robust system design skills and a solid grasp of Google\’s infrastructure elements.
- Sound judgment in foreseeing risks related to privacy, legal matters, marketing, public relations, and safety is essential.
In addition, the following would be an advantage:
- Performance and latency optimization
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.
Application deadline: 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.
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Mobile Software Engineer, Gemini App employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mobile Software Engineer, Gemini App
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Google DeepMind on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, especially those related to mobile development or AI, make sure to highlight them in interviews. We love seeing real-world applications of your work.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and system design principles. We recommend practicing with mock interviews or coding challenges to get into the right mindset.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Google DeepMind.
We think you need these skills to ace Mobile Software Engineer, Gemini App
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Mobile Software Engineer role. Highlight your experience with Android/iOS and any user-facing features you've developed. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to gemini.google.com. Let us know what excites you about the role and our mission.
Showcase Your Projects: Include links to any relevant projects or apps you've worked on. We love seeing real examples of your work, especially if they demonstrate your full-stack capabilities and system design skills.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at The Rundown AI, Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in both Android and iOS development. Brush up on your full-stack capabilities, especially focusing on user-facing features. Be ready to discuss specific projects where you’ve successfully launched features, as this will show your hands-on experience.
✨Understand the AI Landscape
Since the role involves integrating innovative AI capabilities, it’s crucial to have a solid understanding of AI technologies. Familiarise yourself with how AI can enhance user experiences and be prepared to discuss any relevant projects or ideas you have that could benefit gemini.google.com.
✨Prepare for System Design Questions
Expect questions around system design, so practice articulating your thought process. Think about how you would approach designing scalable systems, especially in relation to Google’s infrastructure. Being able to demonstrate sound judgment in foreseeing risks is key.
✨Showcase Your Problem-Solving Skills
Be ready to tackle technical challenges during the interview. Prepare examples of past problems you’ve solved, particularly those related to performance and latency optimisation. This will highlight your ability to deliver high-quality products under constraints, which is essential for this role.
