Senior Manager, Machine Learning Engineering - Trust

Summary

Join Airbnb's Trust team as a Senior Engineering Manager to lead a high-impact engineering team focused on Trust & Safety. Drive the technical vision and execution for critical systems that safeguard the platform's integrity, enhance user trust, and ensure the security of Airbnb's global community. Work with large-scale structured and unstructured data, build and improve cutting-edge Machine Learning models. Collaborate with cross-functional partners, identify business impact opportunities, and prioritize requirements for machine learning models. Develop, productionize, and operate Machine Learning models and pipelines at scale, tackling the changing landscape of fraud attacks. This role requires 12+ years of applied Machine Learning experience and 5+ years of engineering management experience. The position is US-Remote Eligible with occasional office work or offsites.

Requirements

• 12+ years of industry experience in applied Machine Learning
• 5+ years of engineering management experience, with 9+ years of of relevant software development industry experience in a fast paced tech environment
• 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. natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning 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

Responsibilities

• 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

Preferred Qualifications

Experience with the Trust and Risk domain is a plus

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits