Staff Software Engineer, Anti-Bots Engineering
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:
Airbnb’s mission is to create a world where people can Belong Anywhere. Our community of guests and hosts rely on Airbnb around the clock to provide the tools they need to find a safe place to stay and to facilitate unique experiences. As we grow to achieve that mission, we’re looking to add senior technical contributors to solve our broad technical challenges and deep dive into our most critical infrastructure projects.
The Difference You Will Make:
Are you interested in protecting the Airbnb community from malicious bots? Do you have an adversarial mindset? Do you have a blend of quantitative, CS, and ML skills? If so, join us at Airbnb! We are founding a new Anti-Bots Engineering team and are looking for a strong technical leader who is motivated by continuously evolving our capabilities to detect and disrupt attackers. This leader will get involved with researching attack patterns, develop models to identify traffic which matches these patterns, and partner with various teams to implement interventions against these attackers.
Successful candidates for this team will be autonomous, have a bias toward action, and enjoy diving deep into data. The ideal candidate will have a background in a quantitative field as well as ML. The candidate will also have experience manipulating & analyzing large data.
A Typical Day:
- Analyze our traffic data to identify attack patterns
- Use your extensive domain knowledge of bot detection and ML to proactively detect attacks against our platform
- Develop and implement tools to combat attacks
- Implement effective countermeasures to stop scraping based on these identified patterns
- Be a thought leader for Airbnb’s anti-bot initiatives and guide the team’s overall direction
- Partner with other Engineering teams to help develop a holistic solution to bot detection and intervention
Your Expertise:
- Level 11 technologists typically have 12+ years of industry experience with a BS/Masters and 9+ years with a Ph.D
- 5+ years developing ML models
- 3+ years of experience in the adversarial space working on bot detection & mitigation
- 3+ years of experience doing quantitative analysis
- Experience manipulating & analyzing large data sets
- Experience with programming languages such Java, Scala, Python, & SQL
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$235,000—$300,000 USD