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Role Description

As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute code.

• Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems.
• Serve as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on complex architectural and modeling challenges, and raising the overall technical bar.
• Drive and deliver large-scale, multi-quarter ML initiatives that span multiple teams, influencing roadmaps and ensuring alignment between platform and product.
• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• 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.
• Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Examples include: Anomaly detection models, ML models for continuous risk evaluation, Multimodality and Agentic AI.

Qualifications

• 12+ years of industry experience in applied Machine Learning.
• 2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization).
• A Bachelor’s, Master’s or PhD in CS/ML or related field.
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills.
• Deep understanding of Machine Learning best practices (e.g., training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g., gradient boosted trees, neural networks/deep learning, optimization) and domains (e.g., genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection).
• Experience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes.
• Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models.
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with the Trust and Risk domain is a plus.

Requirements

• 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.

Benefits

• 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: $244,000 — $305,000 USD.