Senior Data Engineer, ML Infrastructure
Description For Senior Data Engineer, ML Infrastructure
Airbnb is seeking a Senior Data Engineer to join their ML Infrastructure team, focusing on building essential AI/ML data foundations that power various use cases across the company. This role combines data engineering expertise with machine learning infrastructure development, supporting critical functions from Trust & Safety to Search Ranking. The position offers an opportunity to work with cutting-edge technologies and shape Airbnb's Generative AI infrastructure.
The role involves designing and maintaining scalable data pipelines, developing optimized data models, and collaborating with cross-functional teams to deliver high-impact solutions. You'll work with modern technologies including Spark, Airflow, TensorFlow, and Kubernetes, while contributing to the company's AI/ML acceleration initiatives.
As a Senior Data Engineer, you'll be part of a mission-driven company that connects millions of hosts and guests globally. The position offers competitive compensation ($191,000 - $223,000), along with benefits including equity, bonuses, and travel credits. This remote-eligible position allows for flexible work arrangements while maintaining connection with Airbnb's innovative culture.
The ideal candidate brings 5+ years of industry experience, strong coding skills, and expertise in distributed systems and data warehousing. This role presents an excellent opportunity for someone passionate about building scalable AI/ML infrastructure while making a meaningful impact on global travel and hospitality.
Responsibilities For Senior Data Engineer, ML Infrastructure
- Design, build, automate, and maintain robust, scalable data pipelines using SparkSQL, Scala, and Airflow
- Develop and optimize data models ensuring high-quality, consistent, and accurate data
- Collaborate with ML Infra teams to deliver automated data solutions
- Contribute to scalable GenAI infrastructure
- Partner with key customer teams to deliver high-impact datasets
- Utilize open-source technologies including Spark, Airflow, Ray, MLFlow, TensorFlow, PyTorch
Requirements For Senior Data Engineer, ML Infrastructure
- 5+ years of relevant industry experience (BS/Masters) or 2+ years with a PhD
- Strong coding skills in Python, Java, or equivalent languages
- Hands-on experience with distributed processing technologies
- Solid knowledge of data warehousing concepts and databases
- Expertise building scalable ETL pipelines
- Proven ability to analyze large datasets
- Excellent written and verbal communication skills
- Experience building end-to-end Machine Learning platforms
- Familiarity with Kubernetes, Docker, and modern infrastructure tools
- Deep understanding of distributed systems and engineering best practices
Benefits For Senior Data Engineer, ML Infrastructure
- Employee Travel Credits
- Bonus
- Equity
- Medical Insurance
Jobs Related To Airbnb Senior Data Engineer, ML Infrastructure
