refresh

トレンド企業

トレンド企業

採用

求人Google

Android Engineer, Gemini App, DeepMind

Google

Android Engineer, Gemini App, DeepMind

Google

·

On-site

·

Full-time

·

2w ago

About the job

In this role, you will build Gemini applications that will redefine AI interaction for billions. Artificial intelligence will be one humanity’s most transformative inventions. At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The US base salary range for this full-time position is $174,000-$252,000 + 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

  • Be the pioneer of bringing the latest material design language and experience to the Gemini App. Own and build CoreUI libraries to fast track development and bring new model capabilities from the initial prototype to launch on Gemini's mobile apps.

  • Architect and build scalable mobile systems, demonstrating a deep understanding of native platform capabilities and best practices.

  • Develop and maintain supporting server-side logic to power mobile features and optimize data for the client.

  • Collaborate closely with Product, UX, and Google Material teams to translate complex AI capabilities into user-friendly mobile experiences.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience with software development in one or more programming languages.

  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

  • 3 years of experience in native mobile development (Android or iOS), with a focus on building and shipping user-facing applications.

  • Experience with modern Android mobile languages (e.g., Kotlin or Java) and platforms.

Preferred qualifications

  • Master's degree or PhD in Computer Science or related technical fields.

  • Experience with mobile system design, with the ability to architect resilient, scalable features.

  • Experience in client-facing server development to enhance mobile capabilities.

  • Experience working in a cross-functional team environment.

  • Excellent collaboration skills.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense