Vacancy is archived. Applications are no longer accepted.
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 4 Kubernetes @ 4 Python @ 7 Spark @ 4 Java @ 7 Airflow @ 4 Distributed Systems @ 7 Machine Learning @ 4 TensorFlow @ 4 MLFlow @ 4 Customer Support @ 4 PyTorch @ 4Details
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.
Responsibilities
- Build scalable GenAI infrastructure to support the fast evolving needs of Airbnb teams using foundational language/vision models to power next-gen product experiences
- Drive expansions of the ML platform to improve the productivity of 200+ ML Engineers and Data Scientists who rely on the platform
- Create solid data foundations to power data-driven product features (e.g. Categories) by creating scalable human and AI labeling infrastructure
- Use open source technologies such as Ray, MLFlow, TensorFlow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, Jupyterhub
- Collaborate closely with customer teams including Customer Support, Search Relevance, Trust and Safety to deliver high-impact product wins
Requirements
- 9+ years of industry and/or relevant academic experience
- Solid understanding of engineering and infrastructure best practices
- Strong coding skills in Python, Java, or equivalent
- Strong experience and knowledge of distributed systems
- Industry experience building end-to-end Machine Learning Platforms (a plus)
- Experience developing and productionizing machine learning models (a plus)
- Experience with Kubernetes, Spark, Docker, Airflow (a plus)
Location
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with the manager. Candidates must live in a US state where Airbnb, Inc. has a registered entity (certain states are excluded).
Benefits
The role provides a base pay subject to factors such as training, transferable skills, work experience, business needs, and market demands. May also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Commitment
Airbnb is committed to inclusion and diversity, encouraging applications from all qualified individuals and providing disability accommodations during the recruitment process.