Senior Software Engineer, ML Infrastructure - Training
About The Position
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. The Community You Will Join: At Airbnb, our mission is to create a world where anyone can belong anywhere. We use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience. The Difference You Will Make: In this role, you’ll help us build a suite of tools which together form the foundation with which ML & AI is created at Airbnb. You will contribute to creating a scalable shared platform that accelerates the pace of Machine Learning/GAI design & development and the deployment of impactful, high-quality ML use cases company-wide. You’ll also join us in creating the GenAI infrastructure that will make AI the center of our business. A Typical Day: Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins Develop platform and infrastructure to help ML engineers to finetune LLM models, to training pytorch / tensorflow models Build scalable GenAI experience to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences Use OSS technologies such as Ray, Verl, Llama-Factory, Tensorflow, PyTorch, Airflow, Spark, Docker, Kubernetes, etc.
Requirements
- 5+ years of industry experience (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
Nice To Haves
- Industry experience building end-to-end Machine Learning or GAI Platforms is a plus
- Experience developing and productionizing machine learning models is a plus
- Experience with Ray, Pytorch, Llama-factory, Verl is a plus
Responsibilities
- Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins
- Develop platform and infrastructure to help ML engineers to finetune LLM models, to training pytorch / tensorflow models
- Build scalable GenAI experience to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences
- Use OSS technologies such as Ray, Verl, Llama-Factory, Tensorflow, PyTorch, Airflow, Spark, Docker, Kubernetes, etc.
Benefits
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
