Senior Staff Machine Learning Engineer - AI Safety and Guardrail

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments and from Customer Service to Marketing we rely on ML and AI to ensure that guests and hosts have the best possible experience with Airbnb.

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Community Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent scalable and exceptional service experience. The team develops and enhances various AI models ML services and tools including LLM fine-tuning and optimization RAG/Search  LLM evaluation and testing automation feedback-based learning and guardrail for a wide range of applications in Airbnb.

The Difference You Will Make:

As a key member of Airbnb’s CSP Machine Learning team the Guardrail and AI Safety Engineer ensures that our AI-powered systems - spanning chatbots AI Assistants and Agent Copilot - are reliable safe and aligned with both our trust and governance standards. You will collaborate cross-functionally with ML engineering product and policy teams to build monitor and enforce technical safety mechanisms across the AI system lifecycle.

A Typical Day:

• Collaborate with cross functional teams to identify issues evaluate risks design monitoring systems tailor safeguard measures and deploy efficient solutions to ensure safe robust and responsible use of AI adoption in CS products.

• Design and implement appropriate guardrails to mitigate risks like hallucinations privacy breaches prompt injections harmful responses or bias.

• Set up continuous risk monitoring pipelines and alerting to enable human-in-the-loop feedback and mitigation.

• Collaborate with trust security legal and operation teams to enable risk management.

• Collaborate with evaluation and data platform to design and build out data flywheel for fixing model failure modes and guardrail improvement.

• Partner with product design trust & safety and legal teams to ensure AI-driven features meet global privacy and compliance standards.

• Own documentation guardrail white papers and onboarding materials to support knowledge sharing and auditability.

• Partner with ML infrastructure to scale safety features across Airbnb products.

Your Expertise:

• PhD/Master’s degree preferably in CS or equivalent experience

• 7/10+ years of work experience in developing and deploying machine learning models in production

• Strong understanding of machine learning principles and algorithms

• Hands-on programming experience in python and in-depth knowledge of machine learning frameworks

• 2+ years of experience with one or more of the following broader areas: Content Safety/Integrity ML Fairness and Bias Responsible AI AI Model Security or related areas

• Nice to have: Experience with AI technologies in Customer Support Products LLM alignment techniques (SFT RLHF DPO etc) and LLM evaluation.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites as agreed to with your manager. While the position is Remote Eligible you must live in a state where Airbnb Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: [email protected] . Please include your full name the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.