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.

Requirements

5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
Passion for building user-facing products or large backend systems.
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 the Trust and Risk domain is a plus.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine Learningdata engineeringprogrammingScalaPythonJavaC++feature engineeringgradient boosted treesneural networks

Soft Skills

collaborationcommunicationproblem-solvingprioritizationbusiness impact focus

Certifications

MSPhD