Airbnb
Senior Machine Learning Engineer, Trust
$200K–$227K
San Francisco, CA +1 · Senior · Full-time · Posted Aug 14, 2026
- Location
- San Francisco, CA
United States - Experience
- 5–10 years in applied Machine Learning; 1–2+ years hands-on with LLMs and GenAI.
- Education
- Bachelor’s, Master’s, or PhD in CS/ML or a related field.
About the job
Build and productionize machine learning systems, specialized models, and AI agents that detect abuse and automate trust decisions, validating their impact on Airbnb’s trust and safety operations.
What you'll do
- Own ML projects end to end, from problem framing and prototyping through deployment and impact measurement.
- Build abuse detection systems, AI agents, and evaluation benchmarks for automated trust decisions.
- Develop and improve batch and real-time ML pipelines in collaboration with product and frontline teams.
What they ask for
- 5–10 years of industry experience in applied machine learning, building and productionizing models at scale.
- 1–2+ years of hands-on experience with LLMs and GenAI, including agentic frameworks, orchestration, and evaluation.
- Strong Python skills; experience with ML frameworks, data engineering, end-to-end pipelines, and evaluation methodology.
- Bachelor’s, Master’s, or PhD in CS/ML or a related field.
Nice to have
- Experience with multimodal models (vision, document, or speech).
- Exposure to Trust and Risk, such as fraud detection, anomaly detection, identity, or account integrity.
Pay
$200,000 — $227,000 USD (base salary)
Tools
Python, Scala, Java, TensorFlow, PyTorch, LLMs, GenAI
AI focus
Develop specialized trust and safety models, AI agents that automate trust decisions, and benchmarks and evaluation systems for agentic and ML decision quality.
Model-written summary · the original posting is authoritative