Senior Machine Learning Engineer, Price Modeling

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

As a Senior Machine Learning Engineer, you will be a part of Airbnb's innovative pricing guidance team. Our team is a diverse group of engineers, data scientists, and product managers who are dedicated to creating optimal pricing models for our hosts. We work closely with product engineers, designers, and other cross-functional partners to ensure our models are effective, user-friendly, and contribute to the success of our hosts.
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The Difference You Will Make:

In this role, you will be responsible for developing and refining machine learning models for pricing recommendations, with a particular focus on reinforcement learning techniques. Success in this role will be measured by the accuracy and effectiveness of these models, and their impact on host success rates. You will also be involved in project planning and prioritization, ensuring that our team's efforts align with Airbnb's broader strategic goals.

A Typical Day:

• Collaborating with data scientists and product managers to understand project requirements and desired outcomes
• Developing, testing, and refining machine learning models, particularly reinforcement learning models, for pricing recommendations
• Analyzing model performance and making necessary adjustments
• Presenting findings and progress updates to team members and stakeholders
• Working with product engineers and designers to integrate models into user-friendly tools for hosts

Your Expertise:

• 5+ years of experience in machine learning engineering
• Proven experience in developing and implementing machine learning models, preferably reinforcement learning models
• Strong knowledge of Python, or other relevant programming languages
• Familiarity with data analysis and visualization tools
• Excellent problem-solving skills and attention to detail