Staff Machine Learning Engineer, Trust Screenings
Description For Staff Machine Learning Engineer, Trust Screenings
Airbnb, a pioneering platform in the hospitality industry founded in 2007, is seeking a Staff Machine Learning Engineer to join their Trust Screenings team. This role is crucial in maintaining platform safety and trust by developing sophisticated ML models to predict and prevent safety incidents.
The position offers an opportunity to work on challenging problems at scale, utilizing both internal and external data to create innovative solutions for user safety. As a technical leader, you'll collaborate with cross-functional teams including product managers, data scientists, and designers to develop cutting-edge machine learning models for safety and risk assessment.
The role combines technical leadership with hands-on development, requiring expertise in machine learning, large-scale data processing, and software engineering. You'll be working with state-of-the-art technologies and frameworks to build both batch and real-time ML systems.
This is an ideal position for someone who enjoys tackling ambiguous problems, has a deep understanding of ML principles, and wants to make a significant impact on platform safety. The role offers competitive compensation, including equity and benefits, while providing the flexibility of remote work with occasional office visits.
Working at Airbnb means joining a diverse, inclusive team committed to transforming the travel industry while ensuring community safety. The Trust Screenings team's work directly impacts millions of users worldwide, making this an opportunity to contribute to meaningful technological solutions in trust and safety.
Responsibilities For Staff Machine Learning Engineer, Trust Screenings
- Work with large scale structured and unstructured data, build and improve Machine Learning models
- Work with business functions to stop physical safety and property damage incidents in real time
- Create new holistic machine learning model detection strategies
- Collaborate with cross-functional partners to identify opportunities for business impact
- Develop, productionize, and operate Machine Learning models and pipelines at scale
Requirements For Staff Machine Learning Engineer, Trust Screenings
- 8+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- Bachelor's, Master's or PhD in CS/ML or related field
- Strong programming skills in Scala/Python/Java/C++
- Deep understanding of Machine Learning best practices and algorithms
- Experience with Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka
- Experience building end-to-end Machine Learning infrastructure
- Experience with test driven development and A/B testing
- Exposure to architectural patterns of large-scale software applications
Benefits For Staff Machine Learning Engineer, Trust Screenings
- Employee Travel Credits
