Senior Staff Machine Learning Engineer

Summary

Join Airbnb's Core ML team as a Machine Learning Engineer or Applied Scientist and contribute to developing Conversational AI solutions and other cutting-edge AI techniques for Airbnb's Community Support experience. You will collaborate with cross-functional teams to leverage AI and engineering innovations, building and improving machine learning models for various Airbnb products and operations. This role involves working with large-scale data, developing and deploying models at scale, and utilizing various ML technologies. The ideal candidate possesses 10+ years of experience in applied machine learning, a deep understanding of ML best practices and algorithms, and strong programming and data engineering skills. The position is US-remote eligible with occasional office work, and offers a competitive salary and benefits package.

Requirements

• 10+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• 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. NLP, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)
• Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills
• Experience with 3 or more of these technologies: PyTorch, Tensorflow, 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
• Experience with applying LLMs, prompt design, and fine-tuning methods
• 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

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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits