Airbnb is looking to build a suite of tools to accelerate the pace of Machine Learning design and development and the deployment of impactful, high-quality ML use cases company-wide.
Requirements
- 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 is a plus
- Experience developing and productionizing machine learning models is a plus
- Experience with Kubernetes, Spark, Docker, Airflow is a plus
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 our ML platform to improve the productivity of 200+ ML Engineers & Data Scientists who rely on us
- Create solid data foundations to power the data-driven product features that are at the center of Airbnb’s product roadmap by creating scalable human & AI Labeling infrastructure
- Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, Jupyterhub, etc.
- Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins
Other
- 9+ years of industry experience (and/or relevant academic experience)
- US - Remote Eligible, with occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager
- Must live in a state where Airbnb, Inc. has a registered entity
