Fetching information
Preparing content
Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products. PhD or Master's degree w/ 6+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry
As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every
Engineer features and conduct applied research across time-series, geospatial, demographic, insurance claims, and more datasets, to improve the coverage and signal quality of our core data assets. You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and
Our core stack today includes Python-based CV/ML systems running on AWS, with data pipelines and services designed to handle large volumes of imagery and geospatial data. Build a strong understanding of our current computer vision systems and data pipelines. Staff Software Engineer — Computer Visi
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. We are seeking a Data Scientist II with strong experience in computer vision and deep learning
Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
Construction Manager - Data Center Design, Engineering and Construction. Construction Manager for Data Center Design, Engineering and Construction. This position focuses on overseeing the construction and engineering aspects of data center projects.