Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 7 Scala @ 7 Java @ 7 Machine Learning @ 7 TensorFlow @ 3 Communication @ 6 Data Engineering @ 7 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
- Collaborate closely with teams across Airbnb — such as Customer Support, Search Relevance, and Trust & Safety — to deliver impactful AI-driven product features.
- Develop flexible, high-leverage tooling and infrastructure to support the use of foundational models (language and vision) across Airbnb.
- Work with cutting-edge open-source technologies including LangGraph, Hugging Face, PyTorch, Ray, etc.
- Rapidly prototype, evaluate, and iterate on GenAI applications that unlock new product capabilities.
- Champion clean abstractions and reusable components that balance speed, scalability, and reliability.
Requirements
- 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
- Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
- Deep familiarity with machine learning engineering practices, particularly around training and deploying PyTorch, TensorFlow, or Hugging Face models in production.
- Prior experience with deploying or supporting production ML systems at scale.
- Passionate about AI with a strong grasp of current trends in Generative AI, LLMs, and related technologies.
- Fast learner with a bias for execution—able to ramp up quickly on new tools and technologies.
- Excellent collaboration and communication skills—able to earn the trust of cross-functional partners and influence without authority.
- Potential current titles include ML Engineer, Applied Scientist, or ML Infrastructure Engineer, with a hunger to learn, ship, and support AI systems in production.
Benefits
- Base pay range from $204,000 to $255,000 USD, subject to factors such as training, transferable skills, work experience, business needs, and market demands.
- Eligible for bonus, equity, benefits, and Employee Travel Credits.
- US remote eligible position with occasional in-office or offsite work as agreed.
Location and Inclusion
- This position is remote eligible within the United States, requiring the candidate to reside in states where Airbnb, Inc. has a registered entity.
- Airbnb is committed to inclusion and diversity, encouraging all qualified individuals to apply.
- Disability accommodations are available upon request to assist with the application and recruiting process.