Senior ML Engineer, Trust Frontier AI (Remote)

Airbnb; San Francisco (CA); On-site; USD 200,000 - 235,000; Full time

Benefits offered by this job

Equity

Travel credits

Job summary

Airbnb is seeking a Senior Machine Learning Engineer for the Trust Frontier AI team to own and deliver ML projects end-to-end, from problem framing to productionizing models and measuring impact on top-line metrics.

You will work on abuse detection, autonomous AI agents, and benchmarking work, influencing decisions early and driving measurable platform impact in a remote-enabled, US-based role.

Qualifications

• 5–10 years of industry experience in applied Machine Learning
• 1–2+ years hands-on experience with LLMs and GenAI technologies
• Strong programming skills in Python (required)
• Experience with ML frameworks and tooling such as TensorFlow, PyTorch, or equivalent
• Experience designing evaluation methodology for ML/LLM systems

Responsibilities

• Frame and prototype ML and agentic solutions in partnership with product managers and defense teams
• Design, build, and productionize end-to-end ML pipelines for batch and real-time use cases
• Build and improve abuse behavior detection that generalizes across defenses
• Design, launch, and iterate on AI agents that automate trust decisions
• Build benchmarks and evaluation harnesses to measure model and agentic quality

Skills

Python

LLMs

Agentic frameworks

ML deployment

Education

Bachelor's/Master's/PhD in CS/ML

Tools

TensorFlow

PyTorch

Job description

Airbnb is seeking a Senior Machine Learning Engineer for the Trust Frontier AI team to own and deliver ML projects end-to-end, from problem framing to productionizing models and measuring impact on top-line metrics.

You will work on abuse detection, autonomous AI agents, and benchmarking work, influencing decisions early and driving measurable platform impact in a remote-enabled, US-based role.