Senior Staff Machine Learning Engineer

Summary

Join Airbnb's Users, Listings, and Marketplaces team as a Senior Machine Learning Engineer and leverage your expertise in NLP and Computer Vision to enhance the Guest and Host experience. You will build and improve state-of-the-art machine learning models for various Airbnb product, business, and operational use cases. Collaborate with engineers, product managers, data scientists, and operations to identify problems and deploy ML capabilities. Stay up-to-date with cutting-edge models, 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. This role involves hands-on development, productionization, and maintenance of machine learning models and pipelines at scale.

Requirements

• 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)

Responsibilities

• 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

Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
• Pay Range $244,000 — $305,000 USD