Airbnb, a global hospitality platform founded in 2007, is seeking a Senior Staff Machine Learning Engineer to join their Information Security team. This role represents a unique opportunity to impact security at scale, working at a company that has facilitated over 2 billion guest arrivals worldwide.
The position sits within Airbnb's Information Security team, a critical horizontal function that maintains and builds trust in the platform. The role combines advanced machine learning expertise with security applications, focusing on areas such as Identity and Access Management, Insider Risk, and device protections. You'll be working with both structured and unstructured data, implementing cutting-edge ML models, and integrating emerging technologies like generative AI and LLMs.
The ideal candidate brings 12+ years of applied ML experience, with deep expertise in ML best practices, algorithms, and domains. You'll need strong programming skills in languages like Python, Java, or Scala, and experience with technologies including Tensorflow, PyTorch, Kubernetes, and Kafka. The role requires both technical depth and leadership abilities, as you'll be working across organizations to deliver solutions that benefit Airbnb as a whole.
This is a remote position within the US, offering a competitive compensation package ranging from $244,000 to $305,000, plus equity, bonuses, and benefits. You'll be part of a company that values diversity, inclusion, and belonging, working on problems that directly impact millions of users worldwide.
The role offers unique challenges at the intersection of machine learning and security, requiring someone who can navigate technical complexity while maintaining a strategic view. You'll have the opportunity to influence security practices at scale, working with large datasets and implementing solutions that protect both users and infrastructure. The position combines the excitement of working with cutting-edge ML technologies with the satisfaction of solving critical security challenges for one of the world's leading technology platforms.