Senior Data Engineer, Airbnb
ML Infrastructure
$191-223k
More information about location
Community marketplace for holiday accomodation
Be an early applicant
Community marketplace for holiday accomodation
1001+ employees
Be an early applicant
$191-223k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 5+ years of relevant industry experience (BS/Masters) or 2+ years with a PhD
- Strong coding skills in Python, Java, or equivalent languages
- Hands-on experience with distributed processing technologies (Spark, Kafka, Flink, Hadoop) and distributed storage (HDFS, S3)
- Solid knowledge of data warehousing concepts and databases (e.g. PostgreSQL, MySQL, Redshift, BigQuery, ClickHouse)
- Expertise building scalable ETL pipelines using schedulers like Airflow, Luigi, Oozie, or AWS Glue
- Proven ability to analyze large datasets, identify insights, and drive impactful product solutions
- Excellent written and verbal communication skills; comfortable collaborating cross-functionally
- Experience building end-to-end Machine Learning platforms and deploying ML models
- Familiarity with Kubernetes, Docker, and modern infrastructure tools
- Deep understanding of distributed systems and engineering best practices
What the job involves
- We use Data and Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience. ML Infrastructure, which is the team you will join in, is tasked to provide common shared foundations for modeling, data, governance and productivity to ensure Airbnb’s AI/ML models and applications are built with the highest standards in the industry
- As part of our team, you'll build the essential AI/ML data foundations powering all AI/ML use cases across Airbnb—spanning Trust & Safety, Payments, Customer Support, Marketing, Search Ranking, and more
- You’ll define and implement industry-leading best practices, pipelines, and tools to streamline data creation and consumption, ensuring efficiency, consistency, and compliance
- Your contributions will significantly accelerate AI/ML innovation, enabling rapid development and deployment of high-quality, impactful AI/ML solutions company-wide.
- Additionally, you'll play a pivotal role in shaping our cutting-edge Generative AI infrastructure, positioning AI at the heart of Airbnb’s future
- Design, build, automate, and maintain robust, scalable data pipelines using SparkSQL, Scala, and Airflow
- Develop and optimize data models ensuring high-quality, consistent, and accurate data to support broad AI/ML product feature decisions
- Collaborate closely with peer ML Infra teams to deliver automated data solutions driving AI/ML acceleration
- Contribute to scalable GenAI infrastructure by leveraging foundational language and vision models to create high quality datasets that power cutting edge GenAI applications
- Partner with key customer teams to deliver high-impact, high-quality datasets core to Airbnb's roadmap
- Utilize leading open-source technologies including Spark, Airflow, Ray, MLFlow, TensorFlow, PyTorch, Docker, Kubernetes, and more
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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