Senior Machine Learning Engineer

Summary

Join the User Listing Marketplace Intelligence Machine Learning (ULM-ML) team at Airbnb and make a difference in improving the Host and Guest experience. Leverage open-source, third-party, and in-house ML models to build and improve cutting-edge machine learning models for various Airbnb use cases. Collaborate with cross-functional partners, including data scientists, product managers, and engineers. Prototype machine learning use cases, iterate on requirements, and develop, productionize, and operate ML models and pipelines at scale. Design and build services and APIs to serve ML model-driven data to product use cases. This role is US-Remote Eligible with occasional office work or offsite attendance.

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), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models, as well as integrating to product use cases
• 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
• Design and build services, API to enable serving ML model driven data to product use cases

Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
• Pay Range$191,000 — $223,000 USD