Staff Machine Learning Engineer

Summary

Join Airbnb's Listing Integrity team as a Staff Machine Learning Engineer and help prevent fraudulent listings. You will collaborate with data scientists, designers, product managers, and customer service operations to develop innovative solutions for detecting and removing fake listings. A typical day involves working with large-scale data, building and improving machine learning models, collaborating with various business functions to stop fraud attacks in real time, and developing and operating machine learning models and pipelines at scale. You will need to have a deep understanding of machine learning best practices and algorithms, and experience with various technologies such as TensorFlow, PyTorch, and Kubernetes. This US-remote eligible position offers a competitive salary and benefits package.

Requirements

• 9+ years of industry experience in applied Machine Learning, inclusive MS or  PhD in relevant fields
• 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)

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
• Working together with a wide variety of business functions to stop fraud attacks in real time
• Collaborate with Data Scientists and other Machine Learning Engineers across trust to come up with the best modeling strategy and approach to defending against fake listings
• 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 fraud detection and mitigation
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
• Examples include: ML models to detect Fake Listing creation attempts

Preferred Qualifications

Experience with the Trust and Risk domain is a plus

Benefits

This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits