Staff Software Engineer, Communication & Connectivity

🕒 July 10

🇺🇸 United States – Remote

💵 $204k - $255k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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