Note: The job is a remote job and is open to candidates in USA. Airbnb is a global platform connecting hosts and guests through unique stays and experiences. The Relevance and Personalization team is seeking a Staff Machine Learning Engineer to develop, productionize, and operate large-scale ranking, search, and recommendation models and infrastructure. The role involves collaborating cross-functionally to optimize business objectives, improve model quality, and support low-latency batch and real-time machine learning systems.
Responsibilities
- 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
Skills
- 9+ 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, search and recommendation, marketplace optimization, anomaly detection)
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
- Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
- Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
- Experience with test driven development, familiar with A/B testing, incremental delivery and deployment
- This position is US - Remote Eligible
- While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity
Benefits
- This position is US - Remote Eligible.
- This role may also be eligible for bonus, equity, and Employee Travel Credits.
Company Overview
Company H1B Sponsorship