Airbnb is hiring a
Staff Machine Learning Engineer
Airbnb
π΅ $204k-$259k
πRemote - United States
Please let Airbnb know you found this job on JobsCollider. Thanks! π
Summary
Join the Trust Screenings team at Airbnb as a Staff Machine Learning Engineer to innovate new ways to predict physical safety and property damage incidents on the platform.
Requirements
- 8+ years of industry experience in applied Machine Learning
- A Bachelorβs, Masterβs or PhD in CS/ML or related field
- Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
- Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
- Experience with test driven development, familiar with A/B testing, incremental delivery and deployment
Responsibilities
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases
- Working together with a wide variety of business functions to stop physical safety and property damage incidents in real time
- Creating new holistic machine learning model detection strategies by collaborating with other trust and safety prevention teams around the Trust Organization
- Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for fraud detection and mitigation
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Share this job:
Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.
Similar Remote Jobs
- π°$252k-$315kπUnited States
- π°$212k-$270kπUnited States
- π°$204k-$259kπUnited States
- π°$244k-$304kπUnited States
- π°$212k-$270kπUnited States
- π°$204k-$259kπUnited States
- π°$204k-$259kπUnited States
- π°$244k-$304kπUnited States
- π°~$85k-$200kπUnited States
Please let Airbnb know you found this job on JobsCollider. Thanks! π