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Senior Software Engineer, Gemini App, DeepMind

职能工程
级别资深
方式现场办公
类型全职
发布1个月前
立即申请

About the job

Deep Mind's mission is to advance science and benefit humanity by solving intelligence. We are the driving team behind many of Google's most ambitious and impactful AI breakthroughs.

In this role, you will have an opportunity to shape a new technological era. You will accelerate development using the latest AI models and collaborate with AI to create high-fidelity web UIs for various use cases. You will build Gemini applications that will redefine AI interaction for billions.

Artificial intelligence will be one humanity’s most transformative inventions. At 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

  • Architect, develop, and scale features for the Gemini web app, utilizing exceptional coding abilities and strong product sense to drive the technical strategy.

  • Apply systems-thinking to navigate and resolve ambiguous problems, optimizing modern web architectures for maximum performance and reliability.

  • Integrate the latest generative technologies while taking ownership of building a secure environment for billions of users, strictly upholding privacy and legal standards.

  • Inspire and influence teams across multiple disciplines, fostering a fast-paced, innovation-driven environment to deliver defining, high-impact work.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 5 years of experience in front-end web development using Angular or Javascript/Typescript.

  • 5 years of experience testing, and launching user-facing software products and features.

  • 5 years of experience with front-end frameworks and full-stack web development.

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

Preferred qualifications

  • Master's degree or PhD in Computer Science, or a related technical field.

  • Experience in developing and successfully launching user-facing features.

  • Understanding of complex infrastructure, with the ability to work in system design.

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense