Senior Machine Learning Engineer

Summary

Join Airbnb's growing team as a highly skilled ML engineer and become a key contributor to building a company-wide user-centric platform. You will drive technical vision, architect an ML-driven system for millions of listings, and lead a team in solving ambiguous problems. This role involves designing and implementing ML models to improve user experience and organic bookings, mentoring engineers, and collaborating with cross-functional partners. The position offers a competitive salary, bonus, equity, benefits, and employee travel credits. This is a US-remote eligible position with occasional office work.

Requirements

• 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields
• Strong programming (Python/Java) 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. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, personalization and recommendation)
• 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 large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)

Responsibilities

• Provide critical input and be able to influence technical direction
• Influence and collaborate with stakeholders to adopt team goals and roadmaps
• Work with cross functional partners (product managers, DS, Analytics etc) to design and deliver high-quality systems
• Design and implement ML models to drive organic bookings and improve user experience
• Lead efforts to architect, prototype, build and launch solutions for host or listing success
• Mentor engineers on day to day basis to ensure quality and directions, both within and outside of the team

Preferred Qualifications

Prior knowledge of ML Applications in the ranking, recommendation or personalization domain is highly desirable

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits