Описание

As a senior technical individual contributor, you will partner closely with leaders across the broader technical organization, helping design, execute, and deliver in a complex and collaborative roadmap of Trust engineering efforts.

Responsibilities

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

Requirements

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 (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. 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

Nice to have

Experience with the Trust and Risk domain

We offer

This role may be eligible for bonus, equity, benefits, and Employee Travel Credits
Pay Range: $244,000—$305,000 USD
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.

Hiring process

We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role
Our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from •••.com or @ext.airbnb.com email addresses
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We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process
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