Airbnb Senior Software Engineer (AI/ML), Trust Recruitment 2026: Apply Online for Various Vacancies
Senior Software Engineer (AI/ML), Trust
Job Overview
About the Role and Team
Airbnb is seeking a highly skilled and motivated Senior Software Engineer (AI/ML) to join our Trust Engineering team in Bangalore, India. At Airbnb, trust is the cornerstone of our global community. With over 5 million hosts and more than 2 billion guest arrivals worldwide, maintaining a safe and secure platform is our highest priority. The Trust Engineering team is dedicated to protecting our community from fraud, abuse, and safety risks, ensuring that every interaction on our platform is secure and reliable.
As a Senior AI/ML Engineer, you will play a pivotal role in designing, building, and scaling machine learning models and infrastructure that detect and prevent fraudulent activities in real-time. This includes combating online fraud such as account takeovers, payment fraud, spam, and fake listings, as well as addressing offline safety concerns. You will work on complex challenges involving identity verification, reputation systems, and risk assessment, directly impacting millions of users daily.
Key Responsibilities and Impact
- Model Development & Optimization: Design, train, and deploy state-of-the-art machine learning models to identify anomalous behaviors and fraudulent patterns. You will work with massive datasets, utilizing both structured and unstructured data to improve detection accuracy.
- Scalable ML Infrastructure: Build and maintain robust, high-throughput, and low-latency ML pipelines for both batch and real-time inference. You will leverage modern technologies like Spark, Ray, Kafka, and Kubernetes to ensure seamless model serving.
- Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, Operations, and other Engineering teams to translate business requirements into technical solutions. You will define key metrics, run A/B tests, and continuously iterate on model performance.
- Technical Leadership: Mentor junior engineers, drive architectural decisions, and foster a culture of engineering excellence and continuous learning within the AI/ML community at Airbnb.
Why Join Airbnb Trust Engineering?
The Trust team operates at the intersection of cutting-edge technology and real-world impact. The challenges we solve are highly dynamic, as fraudsters constantly evolve their tactics. This requires our engineers to remain at the forefront of AI/ML innovation, experimenting with advanced deep learning, natural language processing (NLP), and anomaly detection techniques. At Airbnb, you will have the opportunity to work with a world-class team, access state-of-the-art infrastructure, and contribute to a mission-driven company that values diversity, inclusion, and belonging.
Our engineering culture is built on collaboration, innovation, and continuous improvement. We believe in test-driven development, incremental delivery, and robust monitoring. In this role, you will not only write high-quality code but also build comprehensive observability for AI systems, including metrics, logging, and automated alerting to maintain high service-level objectives (SLOs). If you are passionate about using machine learning to solve critical safety problems and want to make a tangible difference in a global community, we encourage you to apply and help us build the world’s most trusted travel platform.
Key Job Details
| Company Name | Airbnb |
| Job Role | Senior Software Engineer (AI/ML), Trust |
| Experience | 7+ years |
| Salary Range | Competitive |
| Job Type | Private |
| Work Mode | Hybrid |
| Openings | Various |
| Job Location | Bangalore, India |
Key Responsibilities
- Work with large-scale structured and unstructured data to build and continuously improve novel ML systems.
- Optimize product integrations and performance for Airbnb’s product, business, and operational use cases.
- Collaborate with cross-functional partners including software engineers, product managers, operations, and data scientists.
- Identify opportunities for business impact, and refine and prioritize requirements for AI/ML models.
- Drive engineering decisions and quantify the business impact of deployed models.
- Work closely with trust defense and platform teams to tackle evolving fraud attacks.
- Productionize and operate end-to-end AI/ML solutions and pipelines at scale for both batch and real-time use cases.
- Lead, mentor, challenge, and grow an enthusiastic, collaborative AI/ML culture within the organization.
Requirements & Qualifications
- 7+ years of industry experience in backend/platform engineering or equivalent.
- BE/B.Tech in Computer Science or equivalent qualification.
- Experience in applied Machine Learning is highly preferred.
- Must have experience working in large tech product companies solving real-world problems.
- Exposure to architectural patterns of large, high-scale software applications (APIs, high-volume data pipelines, efficient algorithms).
- Experience with test-driven development, A/B testing, incremental delivery, and deployment.
- Prior experience within the Trust and Risk domain is a major plus.
Required Skills
- Strong programming skills in Python, Java, or equivalent languages.
- Solid understanding of Data Structures and Algorithms (DSA).
- Deep knowledge of Machine Learning algorithms (e.g., gradient boosted trees, neural networks, deep learning, optimization).
- Familiarity with ML domains such as NLP, Computer Vision, personalization, recommendation, and anomaly detection.
- Hands-on experience with ML technologies: TensorFlow, PyTorch, Kubernetes, Spark.
- Experience with orchestration tools (Airflow, Kubeflow) and streaming/processing systems (Kafka, Spark, Ray).
- Proficiency in data warehousing solutions like Hive.
- Ability to build observability for AI systems (metrics, logging, traces, automated alerting, dashboards, SLO management).
About Airbnb
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.
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