Staff Software Engineer - Communication Products

The Community You Will Join:

Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter safer and more productive. As a staff software engineer on this team you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end partnering deeply with ML and product teams and raising the engineering bar across the organization.

The Difference You Will Make:

As a Staff Engineer on the team you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products including smart replies message classification content moderation translation and conversational assistance. You will also own the full lifecycle of ML-powered features:  from prototyping and experimentation through launch monitoring and iteration. In addition you will help drive key technical deliverables for the larger Communications organization.

A Typical Day:

• Design build and operate the systems that serve ML models within the messaging stack with a focus on latency reliability and scalability

• Write and review technical designs that solve large open-ended problems at the intersection of ML and product engineering without clearly-known solutions

• Partner with ML data science and product teams to identify high-value opportunities establish evaluation criteria and close the gap between offline model performance and production impact

• Collaborate with other engineers and cross-functional partners across Messaging Trust & Safety Localization and Platform organizations to align on long-term technical solutions

• Mentor guide advocate and support the career growth of individual contributors

• Establish engineering standards for ML integration across the messaging surface including feature flagging A/B testing observability and graceful degradation

Your Expertise:

• 9+ years of relevant engineering hands-on work experience

• Bachelors Masters or PhD in CS or related field

• Demonstrated experience building and shipping ML-powered product features in production environments including model serving feature pipelines online/offline evaluation and monitoring

• Exceptional architecture abilities and experience with architectural patterns of large high-scale applications

• Familiarity with NLP/NLU techniques and large language models particularly as applied to messaging conversational AI or content understanding

• Shipped several large-scale projects with multiple dependencies across teams specifically at the intersection of ML infrastructure and product engineering

• Technical leadership and strong communication skills with the ability to translate between ML research product goals and engineering execution

• Experience operating distributed real-time systems at scale with high reliability requirements

• Experience with real-time messaging systems or event-driven architectures

• Familiarity with ML infrastructure at scale (e.g. feature stores model registries online inference platforms)

• Prior work on trust & safety content moderation or internationalization in a messaging context

• Experience with LLM-based product features including prompt engineering retrieval-augmented generation or fine-tuning

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.