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Airbnb Engineering Jobs (NOW HIRING)

airbnb, Inc.

$180 - $280/hr

Partnering with engineering leaders across every Airbnb org to drive adoption of new capabilities. Your customers are all engineers at Airbnb, and adoption is part of the job * Representing the work ...

Airbnb

Product Manager, Search

San Francisco, CA · On-site

Own how guests search on Airbnb end to end - from the moment they express intent to the moment they find the right option. * Partner closely with engineering, applied ML, and data science teams to ...

Airbnb

Product Manager, Search

San Francisco, CA · On-site

Own how guests search on Airbnb end to end - from the moment they express intent to the moment they find the right option. * Partner closely with engineering, applied ML, and data science teams to ...

airbnb, Inc.

$180 - $240/hr

Strong written and verbal communication skills, with experience driving alignment across engineering, product, and design partners Our Commitment To Inclusion & Belonging: Airbnb is committed to ...

Airbnb

Senior Data Scientist, Trust (Inference)

Trust is the real energy source that drives Airbnb... " - Brian Chesky, Airbnb Co-Founder & CEO ... We partner closely with product, engineering, policy, and operations teams across Trust to detect ...

Airbnb

Senior Data Scientist, Trust (Inference)

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... We partner closely with product, engineering, policy, and operations teams across Trust to detect ...

Airbnb

Data Scientist, Platform

Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere ... Build strong relationships with cross-functional partners across Product, Design, Engineering ...

airbnb, Inc.

Product Manager, Search

San Francisco, CA · On-site

$200 - $260/hr

Own how guests search on Airbnb end to end -- from the moment they express intent to the moment they find the right option. * Partner closely with engineering, applied ML, and data science teams to ...

Mosaec

$179 - $210/hr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... We partner closely with product, engineering, policy, and operations teams across Trust to detect ...

airbnb, Inc.

Product Manager, Identity

California, MO · On-site

$140 - $210/hr

... Airbnb platform. * Make prioritization calls that balance multiple competing objectives: trust, guest experience, booking success, and overall marketplace health. * Partner with design, engineering ...

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Airbnb Engineering information

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$12

$31

$57

How much do airbnb engineering jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for airbnb engineering in the United States is $31.55, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $37.98 per hour, depending on experience, location, and employer.

What does an Airbnb engineer do?

Airbnb engineers are responsible for designing, building, and maintaining the technology infrastructure that powers Airbnb's platform. They work on a range of projects such as improving user experience, developing new features, ensuring data security, and maintaining the reliability and scalability of the site. Airbnb engineers collaborate with product managers, designers, and other teams to deliver solutions that support both guests and hosts. Their work spans backend services, frontend interfaces, and mobile applications, using modern programming languages and cloud technologies.

What skills and qualifications are needed to thrive as an Airbnb engineer?

To thrive as an Airbnb Engineer, you need a solid background in software engineering, computer science fundamentals, and experience with scalable web application development. Familiarity with technical tools such as React, Java, Python, distributed systems, and cloud platforms like AWS is highly valued, along with a relevant degree or equivalent experience. Strong problem-solving abilities, collaboration, and effective communication skills help engineers work seamlessly in cross-functional teams and adapt to evolving project requirements. These skills are crucial for building reliable, user-centric products that support Airbnb's global platform and enhance the user experience.

How do Airbnb engineering teams typically collaborate across different functions within the company?

Airbnb Engineering teams frequently work in cross-functional squads that include product managers, designers, and data scientists. This collaborative environment allows engineers to contribute technical expertise while staying closely aligned with project goals, user needs, and business objectives. Regular stand-ups, sprint planning sessions, and code reviews are common practices that foster open communication and continuous improvement. This structure not only helps engineers gain broader perspectives but also encourages skill development and career growth through exposure to diverse challenges and solutions.

What is the difference between Airbnb Engineering vs Airbnb Software Development?

AspectAirbnb EngineeringAirbnb Software Development
Required CredentialsBachelor's in Computer Science or related field, coding skills, experience in software engineeringSimilar credentials, focus on coding, software design, and development skills
Work EnvironmentCollaborative teams, agile methodology, product-focusedDevelopment teams, project-based tasks, cross-functional collaboration
Employer & Industry UsageUsed interchangeably within Airbnb for technical roles involving system design and engineeringOften used for roles focused on coding, software creation, and application development

Airbnb Engineering and Airbnb Software Development roles often overlap, with both requiring strong coding skills and technical expertise. Engineering tends to emphasize system design and infrastructure, while Software Development focuses more on creating and maintaining applications. Understanding these nuances helps candidates target the right roles within Airbnb's tech teams.

More about Airbnb Engineering jobs

What states have the most Airbnb Engineering jobs?

States with the most job openings for Airbnb Engineering jobs include:

What job categories do people searching Airbnb Engineering jobs look for?

The top searched job categories for Airbnb Engineering jobs are:

Airbnb Engineering jobs near you
Infographic showing various Airbnb Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,624 per year, or $31.6 per hour.

Senior Staff Software Engineer, Host Pricing & Settings

Airbnb

Remote

$125K - $165K/yr

Full-time

Re-posted 9 days ago

Airbnb rating

7.3

Company rating: 7.3 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

5th of 21 rated holiday rentals

Job description

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:
The Host Pricing & Settings team builds the platform and tools that help hosts run their business - with pricing strategies informed by market intelligence, comparable listings, and demand signals. We partner with Search, Listings, Tax, and Payments to ensure our guidance is accurate, timely, and trusted.
Behind every pricing recommendation is a sophisticated ML system undergoing a fundamental rearchitecture. Our north star: a serving infrastructure where training, inference, and evaluation are consistent by design - features from a centralized store, model composition in one place, and backfills available on demand so data scientists and MLEs can evaluate candidates in days, not weeks.
The Difference You Will Make:
As a senior technical individual contributor, you will own the technical strategy for the full Modeling → ML Serving → API interface across the Host Pricing org. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers - you are expected to be hands-on and contribute code.
  • Define the architecture and contracts governing how models move from development to production - feature store design, model schema management, online/offline inference consistency, and multi-version support.
  • Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training to production.
  • Architect backfill and evaluation infrastructure so the modeling team can simulate production inference over historical data in days, not weeks.
  • Establish domain contracts between Modeling and Serving so each team can move independently with clear, enforced interfaces.
A Typical Day:
  • Review and evolve the ML serving architecture - making tradeoff calls on feature pipeline design, model composition, and API interfaces.
  • Write and review code for feature engineering jobs, feature store configurations, and serving service endpoints.
  • Partner with Data Science, MLE, MLI and core Pricing & Availability systems BE teams to define artifact handoffs and integration contracts.
  • Drive milestone planning across the Host Pricing & Settings org, sequencing work to deliver value incrementally.
  • Mentor engineers through design reviews and hands-on pairing on the hardest infrastructure problems.
Your Expertise:
  • 12+ years in backend or platform engineering, with substantial experience building production ML systems or data-intensive infrastructure.
  • Strong programming skills in Java, Kotlin, Scala, and/or Python.
  • Deep understanding of ML systems design: feature stores, training/serving consistency, model versioning, and online/offline inference pipelines.
  • Experience with high-scale batch and real-time data pipelines (Spark, Airflow, Kafka, or equivalent), including point-in-time correctness for backfills.
  • Expertise with architectural patterns of large, high-scale applications - well-designed APIs, efficient data contracts, multi-tenant serving infrastructure.
  • Proven ability to lead cross-team technical initiatives spanning ML and platform engineering.
Preferred Qualifications:
  • Feature Store Depth: Production experience with Chronon, Tecton, Feast, or equivalent - including online/offline consistency and backfill automation.
  • Model Serving Infrastructure: Experience with model schema management, multi-version support, and model composition frameworks.
  • Domain Contract Design: Track record defining and enforcing technical contracts between ML modeling, MLI, serving teams and/or product surfaces.
  • Evaluation Velocity: Measurable impact improving the speed at which ML teams evaluate candidate models and ship to production.
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. 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.

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