Senior Machine Learning Engineer
Airbnb- Base salary
- $200k–$235k Published base salary range
- Location
- Remote - US (not eligible in excluded states) Remote eligibility
- Employment
- Full-time Senior
About the job
About the Role
Airbnb's Trust Frontier AI team is seeking a Senior Machine Learning Engineer to build specialized models, AI agents, and evaluation harnesses for trust and safety. You will own ML projects end-to-end, from framing ambiguous problems to productionizing models and proving impact on top-line metrics.
Responsibilities
- Frame and prototype ML and agentic solutions for novel problems.
- Design, build, and productionize end-to-end ML pipelines for batch and real-time use cases.
- Build and improve abuse behavior detection across defenses.
- Design, launch, and iterate on AI agents that automate trust decisions.
- Build benchmarks and evaluation harnesses to measure model and agentic decision quality.
- Develop specialized models for trust and safety, using LLMs and AI agents to accelerate model development.
- Work with large-scale structured and unstructured data to improve ML models.
- Partner with front line defense teams to validate solutions through experiments and holdouts.
Qualifications
- 5-10 years of industry experience in applied Machine Learning.
- 1-2+ years of hands-on experience with LLMs and GenAI technologies, including agentic frameworks and orchestration.
- Strong programming skills in Python; familiarity with Scala, Java, or equivalent.
- Solid understanding of ML best practices (e.g., training/serving skew minimization, A/B testing, feature engineering) and algorithms (gradient boosted trees, neural networks, transformers, deep learning).
- Experience with ML frameworks such as TensorFlow, PyTorch, or equivalent.
- Experience with data engineering and end-to-end ML pipelines, including batch and real-time systems.
- Experience designing evaluation methodology for ML or LLM systems.
- Exposure to architectural patterns of large-scale software applications.
- Experience with test-driven development, incremental delivery, and deployment practices.
- Experience with multimodal models (vision, document, or speech) is a plus.
- Exposure to Trust and Risk domain (e.g., fraud detection, anomaly detection) is a plus.
- Bachelor's, Master's, or PhD in CS/ML or related field.
Compensation & Benefits
Base pay range: $200,000—$235,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Location
US - Remote Eligible. Must live in a state where Airbnb, Inc. has a registered entity. Some states are excluded; see the up-to-date list on the careers page.
Application Instructions
Apply through the provided link. For disability accommodations, contact reasonableaccommodations@airbnb.com.
Skills & tags
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