onsite
Machine Learning Engineer - Community Support Engineering - Airbnb
ML Engineer
Drive AI-driven solutions that enhance community trust and safety, leveraging Python, TensorFlow, and AWS to build scalable ML models and data pipelines for Airbnb’s global platform.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that improve community trust, safety, and user experience across the platform.
- Collaborate with cross‑functional teams to translate business problems into data‑driven solutions, ensuring models meet performance, fairness, and scalability requirements.
- Build and maintain robust data pipelines using SQL, Python, and cloud services (AWS) to ingest, clean, and transform large volumes of community interaction data.
- Implement monitoring, logging, and automated testing to guarantee model reliability and rapid issue resolution.
- Communicate findings and model insights to stakeholders through clear visualizations and technical documentation.
Requirements
- 3+ years of experience in machine learning engineering or data science roles.
- Proficiency in Python, TensorFlow or PyTorch, and SQL for data manipulation.
- Hands‑on experience with AWS services (SageMaker, EC2, S3) for model training and deployment.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Excellent written and verbal communication skills.
Skills
pythonmachine learningtensorflowawssql