Senior Staff Machine Learning Engineer, Security

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe.

The Community You Will Join:

At Airbnb, we want to build a world where anyone can belong anywhere – and the first step in that direction is creating a community that’s open, inclusive, and built on trust.

The Difference You Will Make:

We are looking for a Senior Staff Machine Learning Engineer to contribute to advancing Information Security protections and related operations across a variety of domains such as Identity and Access Management, Insider Risk, and device protections through the use of data analytics, machine learning, and related emerging tech such as genAI and LLMs.

A Typical Day:

• 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 through ambiguity to detailed solutions.
• You have a demonstrated ability to see the interconnectedness of not only the immediate problem you’re solving for, but also those of other organizations to unify cross-functional stakeholders to deliver solutions that are best for Airbnb vs. a single business unit.
• Self-motivated, proactive and proven ability to adapt well and work with teams having different operating cadences and breadth of subject matter backgrounds.
• Provide sound business judgment, a proven ability to influence others, strong analytical skills, and a track record of taking ownership, leading data driven analyses, and influencing results.
• Develop processes where little exists across large organizations, and demonstrated flexibility to get things done.
• Drive technology changes to improve capabilities to protect Airbnb in your area of expertise.

Your Expertise:

• 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.
• You have experience in developing and communicating effective and pragmatic strategies that you are directly responsible for and help engineering and business team(s) execute on.
• You have strong written and verbal communication skills.

Your Location:

This position is US - Remote Eligible.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

{#salary}Pay Range $244,000—$304,000 USD{/id}