5 months ago
Base Salary
$244k - $305k/yr
Responsibilities
- Develop and guide engineers in designing and building AI products and features from inception through production.
- Build AI-powered content generation capabilities for personalized emails, push notifications, advertising copy, and creatives.
- Develop ML/AI orchestration for audience, message, channel, and timing decisioning.
- Design proactive marketing analyst agents that identify opportunities and convert them into executable campaigns.
- Explore, experiment with, build, and continuously improve machine learning models and pipelines using large-scale structured and unstructured data.
- Hands-on productionize and operate ML/AI models and pipelines for batch and real-time use cases at scale.
- Use machine learning tools and infrastructure to enable fast model development, low-latency serving, and model quality maintenance.
- Collaborate with product managers, operations, data scientists, and engineers to prioritize ML requirements and make engineering decisions.
- Mentor engineers and help make ML/AI applications a core discipline for non-ML/AI engineers.
- Build resilient, globally scalable systems and foundational components for AI-powered growth.
Requirements
- 12+ years of industry experience in applied ML/AI, inclusive of an MS or PhD in a relevant field.
- Strong programming and data engineering skills in Scala, Python, Java, C++, or equivalent technologies.
- Deep understanding of machine learning best practices, including training/serving skew minimization, A/B testing, feature engineering, and feature/model selection.
- Knowledge of machine learning algorithms and domains including neural networks, deep learning, optimization, natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, and anomaly detection.
- Experience with TensorFlow, PyTorch, Kubernetes, Airflow or equivalent, and Kafka or equivalent.
- Expertise with architectural patterns for large-scale software applications, including well-designed APIs, high-volume data pipelines, and efficient algorithms and models.
- Experience automating processes and developing agentic AI solutions and frameworks is preferred.
- Experience with the AI product development lifecycle from incubation through production at scale is preferred.
- Experience building agent behavior testing frameworks and driving architectural requirements for ML infrastructure is preferred.
Benefits
- US remote eligible, with occasional office or offsite attendance as agreed with the manager.
- May be eligible for bonus, equity, benefits, and Employee Travel Credits.
Tech Stack
Categories
Growth EngineeringML Engineering
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, experiences and services that make it possible for guests to connect with communities in a more authentic way.