6 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 operates a global online marketplace that connects hosts offering homes, rooms, and unique properties with travelers seeking short-term stays and experiences. The company earns revenue primarily through service fees on bookings; founded in 2007 and headquartered in San Francisco, it is a public company on NASDAQ (ABNB) with over 5 million hosts and guest arrivals recorded in nearly every country.