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채용Airbnb

Staff Backend Engineer, Core Entities Data Foundation

Airbnb

Staff Backend Engineer, Core Entities Data Foundation

Airbnb

Remote - US

·

Remote

·

Full-time

·

2w ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand. You will be a crucial part of the Guest and Host organization, developing a semantic model for our Core Entities and Events that powers the experiences of millions of guests and hosts globally.

The Difference You Will Make:

You will own some of the most critical data systems at Airbnb, building a semantic model that autonomously drives both infrastructure and code changes. This role will focus on building new capabilities in our data ecosystem: a platform that proactively detects issues, orchestrates solutions and seamlessly integrates human-in-the-loop workflows for expert guidance. Your contributions will shift Airbnb from storing massive amounts of data to intelligently organizing and utilizing it, empowering our product and operations teams to move faster and deliver a resilient, high quality experience for our global community of Guests and Hosts.

A Typical Day:

  • Develop an actionable technical strategy from our ambitious vision to drive infrastructure and code from a semantic model of the business

  • Improve and expand our detection systems to find more complex issues and integrate human-in-the-loop workflows for subject matter expert guidance

  • Architect and develop systems that autonomously orchestrate infrastructure and code changes based on findings from our detection platforms

  • Partner closely with Machine Learning, Data Engineering, and Product teams to ensure deep integration in the product space, not just a siloed project.

  • Identify areas for improvement, champion the adoption of best practices in engineering architecture, perform technical design reviews, and enhance our software engineers across team boundaries.

  • Research the latest innovations in semantic modeling and AI-driven infrastructure, actively sharing these insights to act as a thought leader within Airbnb’s engineering organization.

Your Expertise:

  • 9+ years of relevant software development industry experience in a fast-paced tech environment

  • BS, MS or PhD in CS or related field

  • Expertise with backend systems in large-scale service-oriented architectures

  • Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality

  • Strong understanding of how deep backend systems are expressed in the UX shown to customers

  • End-to-end mentality that transcends team boundaries and helps find globally optimal solutions

  • Excellent communication skills and the ability to work well within a team and with teams across the engineering organization

  • Passionate about efficiency, availability, system quality and user experience

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range**$212,000—$265,000 USD**

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Airbnb 소개

Airbnb

Airbnb

Public

An online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet.

5,001-10,000

직원 수

San Francisco

본사 위치

$75B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

3.8

문화

4.1

커리어

3.4

경영진

2.8

65%

친구에게 추천

장점

Great team culture and colleagues

Flexible work arrangements and remote options

Good benefits and perks

단점

Work-life balance challenges

Communication and organizational issues

High stress and overwhelming expectations

연봉 정보

39개 데이터

L2

L3

L4

L5

L6

Mid/L4

Senior/L5

L2 · Financial Analyst L2

0개 리포트

$211,250

총 연봉

기본급

$84,500

주식

$105,625

보너스

$21,125

$147,875

$274,625

면접 경험

9개 면접

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 44%

보통 34%

부정 22%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit