Senior Machine Learning Engineer, Relevance
Remote
Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (structured, sequential, image, text, etc) at Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/airbnb-relevance-publications/home
A Typical Day:
- 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.
- 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 machine learning models, drive engineering decisions, and quantify impact.
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
- Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.
Your Expertise:
- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
- 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. neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization, …
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RestrictionsAttendance at offsites Must live in a state where Airbnb, Inc. has a registered entity Must live in a state with registered entity Occasional work at an Airbnb office Occasional work at an Airbnb office or attendance at offsites US - Remote Eligible
Benefits/PerksAttendance at offsites Benefits Bonus Collaborative environment Employee travel credits Equity Flexible schedule Impactful projects Remote work
Tasks- Collaborate with cross functional teams
- Develop machine learning models
A/B Testing AI Airflow Algorithms Anomaly Detection APIs Architectural Patterns Business C C++ Computer Vision Data engineering Data Pipelines Deep Learning Deployment Engineering Experimentation Feature Engineering Feature/model selection Hive Java Kafka Kubernetes Machine Learning Natural Language Processing Neural Networks Optimization Personalization Python PyTorch R Recommendation Scala Spark TensorFlow Test Driven Development Testing
Experience5 years
Education