Airbnb is facing challenges with identity misuse, duplicate account prevention, and underage user enforcement on its platform. Fraudsters are using sophisticated techniques like deepfakes and synthetic imagery to impersonate users, and circumventing age verification processes. The team needs to build advanced detection systems to maintain platform integrity and user trust.
Requirements
- 5+ years of industry experience in software engineering, with a focus on applied Machine learning.
- Strong programming (Scala / Python / Java/ C++ or equivalent) skills
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
- Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
- Experience with computer vision systems (e.g., face detection, liveness, tampering detection) is a plus.
- Experience with the Trust and Risk domain is a plus.
Responsibilities
- Train and deploy machine learning models for identity misuse detection and risk scoring.
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
- Integrate advanced verification methods, including biometrics and NFC-based flows.
- Collaborate closely with ML, iOS/Android, and web engineers to deliver end-to-end solutions.
- Contribute to foundational infrastructure including secure data handling, image processing, model serving, and feature engineering.
- Shape technical direction and influence the team roadmap through long-term strategy and investment planning.
- Mentor other engineers and promote best practices to strengthen Airbnb’s engineering culture and foundations.
Other
- Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
- Comfortable navigating ambiguity and driving projects from concept to production.
- Strong collaboration skills and experience working with cross-functional teams.
- This position is US - Remote Eligible.
- While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.
