Senior Staff Machine Learning Engineer - Guest & Host
Improve the Guest and Host experience by improving the intelligence of our product through state of the art machine learning models.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe.
The Community You Will Join:
The Users, Listings, and Marketplaces team supports features across the application related to Guests, Hosts and Listings.
The Difference You Will Make:
There is huge potential for AI to how guests book and how Hosts manage listings at Airbnb.
A Typical day:
Your contributions take a variety of shapes:
- Leverage structured and unstructured data to build and continuously improve state of the art Machine Learning models for Airbnb product, business and operational use cases.
- Work collaboratively with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities.
- Stay up to date with SoT models and prototype machine learning product features and iterate with product and design.
- Drive best practices, develop playbooks, and create a repeatable process for shipping quality machine learning features.
- Hands-on development, productionization, and maintenance of machine learning models and pipelines at scale.
Your Expertise:
- Industry experience building and shipping end to end machine learning features
- 12+ years of industry experience in applied Machine Learning, with experience in both Natural Language Processing and Computer Vision
- A Bachelor’s, Master’s or PhD in CS/ML or related field
- Strong programming (Python / Java/ C++ or equivalent) skills with data and backend engineering expertise
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
- Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
- Expertise with architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
Your Location:
This position is US - Remote Eligible.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $244,000—$305,000 USD