Senior Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (AI): Designing and scaling the data platform behind ’s graph system, which powers critical product experiences through intelligent data connections with an accent on scalable data ingestion & consumption, and system performance in production environments. Focus on seamless, high-performance integration of the Knowledge Graph with a variety of downstream systems, including Search, Machine Learning, and Analytics.
Location: This position is US - Remote Eligible. While the position is Remote Eligible, you must live in a state where , Inc. has a registered entity.
Salary: $196,000 — $230,000 USD
Company
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.
What you will do
- Partner with infra and product teams to deeply understand use case requirements and define the technical vision for the Knowledge Graph.
- Design, build, and scale the end-to-end (E2E) Travel Graph infrastructure, prioritizing a robust and easy-to-use platform for all consumers and producers of graph data.
- Lead the large-scale data onboarding strategy, focusing on a user-friendly experience for ingesting diverse data sources via both batch and Near Real-Time (NRT) pipelines.
- Ensure seamless, high-performance integration of the Knowledge Graph with a variety of downstream systems, including Search, Machine Learning, and Analytics.
- Debug complex production issues and continuously improve system reliability, observability, and performance.
Requirements
- BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
- 5+ years of industry experience with a BS/Masters, and 3+ years with a PhD.
- Proven success in building and maintaining high-scale distributed systems, particularly in data infrastructure, databases, or streaming platforms.
- Hands-on experience with technologies like Kafka, Flink, Spark, or similar for data ingestion and processing.
- Hands-on experience applying AI/ML techniques to data infrastructure problems. Experience with large language models (e.g., Claude, LLMs) for productivity is a plus.
- Strong system design and debugging skills, with a focus on real-world reliability and scalability.
Culture & Benefits
- 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.
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