Staff Software Engineer (Communication & Connectivity)

• At CnC, data is foundational to our organization’s success.This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing
• The data will power machine learning models and unlock new product features
• You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams
• CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience in various surfaces including highly used ones like Messaging
• We’re building a robust ML platform to power our product ambitions
• Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb
• Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML, to drive aligned and impactful outcomes
• Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across Airbnb
• Implement robust offline and online feature building processes to enable faster production of ML products
• Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness
• Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb

Benefits

• Paid volunteer time
• Health food and snacks
• Generous parental and family leave
• Learning and development
• Annual travel and experiences credit- Excellent communication skills, both written and verbal
• You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
• Strong CS fundamentals, and knowledge of architecture and common design patterns
• Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
• You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
• 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD
• Experience collaborating with client, backend, ml, analytics teams, product and business partners
• Experience working on/with end-to-end Machine Learning products