Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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:
Do you thrive in fast-paced environments where your work directly impacts millions of people? Are you passionate about building innovative solutions to combat sophisticated threats? If so, join our elite Anti-Bots Engineering team and be a key player in safeguarding the Airbnb platform. Our newly formed Anti-Bots Engineering team is at the forefront of the fight, building cutting-edge systems to keep bad actors at bay. As a Senior Software Engineer, you'll play a pivotal role in designing, developing, and deploying these critical defenses.
The Difference You Will Make:
- Become a Guardian of Platform: Your work will directly contribute to a safer and more reliable Airbnb experience for millions of users.
- Lead the Charge Against Scraping: Develop innovative solutions to combat fraudulent activity and data scraping, protecting both hosts and guests.
- Stay Ahead of the Curve: Continuously identify and mitigate emerging bot threats, ensuring the platform remains secure.
A Typical Day:
- Partner with ML engineers and data scientists to design and implement powerful machine learning pipelines for bot detection and mitigation.
- Architect and build distributed ML services capable of handling massive data processing and model serving at scale.
- Leverage your expertise to contribute to and improve existing tools within the Airbnb ML platform.
- Uncover attack patterns through data analysis and develop features to enhance the effectiveness of ML models.
- Design and implement countermeasures (backend systems or APIs) to thwart scraping attempts based on identified patterns.
Your Expertise:
- 5+ years of software engineering experience, preferably backend-focused.
- Strong programming skills in Python, Java, or a similar language.
- Expertise in building and deploying distributed systems.
- Familiarity with ML concepts and tools (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.
- Experience with big data technologies like Spark or Airflow is a plus.
- Experience in a fast-paced, innovative environment.
- Stellar analytical and problem-solving skills.
- Top-notch communication and collaboration skills.
Bonus points for:
- Experience with data engineering or data analysis.
- Experience building end-to-end ML systems.
- Understanding of architectural patterns for large-scale applications
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: [email protected]. 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.
United States
