Senior Machine Learning Engineer, Relevance

Location: US remote eligible; must live in a state where Airbnb, Inc. has a registered entity. Occasional work at an Airbnb office or attendance at offsites may be required as agreed with the manager.

Base pay: $200,000–$235,000 USD per year, with possible bonus, equity, benefits, and Employee Travel Credits.

Company

Airbnb operates a global platform connecting guests with hosts, stays, and experiences.

What you will do

• Develop and continuously improve machine learning models for product, business, and operational use cases using large-scale structured and unstructured data.
• Build, productionize, and operate machine learning models and pipelines for batch and real-time use cases.
• Develop end-to-end ranking algorithms and systems for search, recommendation, personalization, and marketplace optimization.
• Improve reusable machine learning infrastructure, model development speed, serving latency, and model quality maintenance.
• Collaborate with software engineering, product, operations, and data science partners to identify opportunities, prioritize requirements, make engineering decisions, and quantify impact.
• Work on projects such as feature platforms, model interpretability, hyperparameter optimization, and concept drift detection.

Requirements

• 5+ years of industry experience in applied machine learning, inclusive of an MS or PhD in a relevant field.
• Strong programming and data engineering skills in Scala, Python, Java, C++, or equivalent.
• Deep understanding of machine learning best practices, including training/serving skew minimization, A/B testing, feature engineering, and feature/model selection.
• Knowledge of neural networks, deep learning, optimization, natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, or anomaly detection.
• Experience with at least 3 of TensorFlow, PyTorch, Kubernetes, Spark, Airflow, Kafka, data warehouses such as Hive, or equivalent technologies.
• Industry experience building end-to-end machine learning infrastructure and/or building and productionizing machine learning models.
• Exposure to large-scale software architecture, including well-designed APIs, high-volume data pipelines, efficient algorithms, and models.
• Experience with test-driven development, familiarity with A/B testing, incremental delivery, and deployment.

Culture & Benefits

• Remote-eligible US position with occasional office or offsite attendance by agreement.
• Potential eligibility for bonus, equity, benefits, and Employee Travel Credits.
• Inclusive workplace and reasonable accommodations throughout the application and interview process.
• Employment eligibility is tied to states where Airbnb, Inc. has a registered entity; the current excluded-state list must be checked.

Hiring process

• Applications are submitted through Airbnb’s careers page; recruiters correspond only from Airbnb email domains.
• Reasonable accommodation requests should be sent to the recruiting team with the applicant’s full name, role, and required accommodation.