Senior Machine Learning Engineer

Summary

Join Airbnb's Users & Contextualization Team as a Senior Machine Learning Engineer and contribute to building a robust foundation for understanding Airbnb guests and hosts. You will leverage your expertise in NLP and Computer Vision to develop and productionize machine learning models at scale. Collaborate with cross-functional teams to improve the host and guest product experience. This role involves working with large-scale structured and unstructured data, building cutting-edge ML models, and prototyping machine learning use cases. The position is US-remote eligible, with occasional office work or offsites. Airbnb is committed to diversity and inclusion.

Requirements

• 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Must have experience in both Natural Language Processing and Computer Vision
• 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, state-of-art NLP and CV algorithms) 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
• Prototype machine learning use cases for use in the product, and work with stakeholders to iterate on requirements
• Develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits