Remote Senior Staff Machine Learning Engineer, Security

Summary

Join Airbnb's Information Security team as a Senior Staff Machine Learning Engineer to advance security protections and related operations across various domains. Contribute to building trust in our platform by applying data analytics, machine learning, and emerging tech such as genAI and LLMs.

Requirements

• 12+ years of industry experience in applied Machine Learning
• 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
• Experience with Information Security or similar domains

Responsibilities

• Support, scale, and advance security or related functions through practical applied uses of data analytics, ML models, and integration of genAI and LLM models from past experience at equivalent size, scope, scale, and technically complex companies comparable to Airbnb
• Provide strategic approaches and methodologies to advance security disciplines working with large scale structured and unstructured data, build, and continuously improve cutting edge Machine Learning models for these disciplines
• Continuously identify, drive, and support opportunities where Information Security disciplines can benefit from your area of expertise. Work collaboratively with cross-functional partners including software engineers, product managers, operations, and data scientists to do so
• Work through ambiguity to detailed solutions. You can and support others to take a vague problem, crisply frame the challenge, what’s being solved for, identify a path forward, and drive an initiative over the finish-line

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits