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Описание вакансии
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TL;DR
Lead Data Engineer (AI): Designing and building large-scale distributed data systems to power machine learning models and product features with an accent on batch and real-time processing. Focus on architecting ML infrastructure, optimizing for scalability, and collaborating across cross-functional teams to enhance the Airbnb experience.
Location: US - Remote Eligible. Must live in a state where Airbnb, Inc. has a registered entity.
Salary: $204,000 — $255,000 USD
Company
Airbnb is a global platform connecting hosts and travelers through unique stays and experiences, now leveraging GenAI and LLMs to enhance community connectivity.
What you will do
- Lead the design and construction of large-scale, distributed batch and real-time data systems.
- Architect and optimize ML infrastructure for performance, scalability, and cost-effectiveness.
- Implement robust offline and online feature building processes to accelerate ML product development.
- Collaborate with backend, client, data science, and analytics teams to drive impactful product outcomes.
- Mentor and develop engineers while influencing the broader data engineering community.
- Shape the long-term vision and roadmap for data systems within the Communication and Connectivity organization.
Requirements
- 9+ years of industry experience with a Bachelor’s/Master’s degree, or 6+ years with a PhD.
- Must reside in a US state where Airbnb has a registered entity.
- Strong CS fundamentals and experience with common design patterns.
- Proven experience running production data pipelines using distributed frameworks like Apache Spark or Flink.
- Experience working on end-to-end Machine Learning products.
- Excellent written and verbal communication skills.
Culture & Benefits
- Competitive base pay with potential for bonus, equity, and benefits.
- Employee Travel Credits.
- Commitment to inclusion and belonging with support for reasonable accommodations.
- Collaborative, product-focused environment with high customer impact.
- Flexibility for occasional office visits or offsites.
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