Staff Software Engineer, Communication & Connectivity

Навыки

• AI-инструменты в работе
• Коммуникация
• Flink
• Machine Learning
• Роадмап
• SOLID и паттерны
• Spark

О компании и продукте

• We connect Airbnb’s community with the right information, in the right place, at the right time. We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations, and travelers get just the information they need to enjoy their stay worry-free. Additionally, we are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb: easing the process of hosting, and adding meaning to our guest’s trips.
• The data team utilizes industry-leading tools, builds scalable data systems and applies cutting-edge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization.
• Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

Задачи

• 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
• A Typical Day
• 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

Требования

• 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
• Strong CS fundamentals, and knowledge of architecture and common design patterns
• You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact
• You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink
• Experience collaborating with client, backend, ml, analytics teams, product and business partners
• Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams
• Experience working on/with end-to-end Machine Learning products
• Excellent communication skills, both written and verbal
• 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
• 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

Условия

• 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
• Pay Range
• 204,000 — $255,000 USD

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