Machine Learning Engineer • Staff

Who you are

You have extensive experience in machine learning engineering, with a strong focus on building and deploying ML models that drive business impact. Your background includes working with both structured and unstructured data, allowing you to tackle complex data challenges effectively. You are proficient in Python and SQL, enabling you to create robust data pipelines and perform data analysis with ease. You thrive in collaborative environments, working closely with data scientists, product managers, and software engineers to identify opportunities for improvement in user experiences. You understand the importance of data quality and are committed to maintaining high standards in your work. You are passionate about leveraging machine learning to enhance product offerings and improve customer satisfaction.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with tools like TensorFlow or PyTorch. You may also have a background in data engineering, which complements your machine learning skills and enhances your ability to build scalable solutions.

What you'll do

In this role, you will be responsible for developing and optimizing machine learning models that enhance the host and guest experience on Airbnb. You will work with large datasets to build data pipelines that support the deployment of these models. Collaborating with cross-functional teams, you will identify key business opportunities and prioritize projects that have the potential to drive significant impact. You will continuously improve existing models, ensuring they remain effective and relevant as user needs evolve. Your work will involve experimenting with different algorithms and techniques to find the best solutions for various use cases. You will also be expected to communicate your findings and insights to stakeholders, helping to shape the direction of product development.

What we offer

Airbnb offers a competitive salary range of $204,000—$255,000 USD, along with potential bonuses and equity options. You will have the opportunity to work in a dynamic and innovative environment where your contributions directly impact the user experience. We value collaboration and encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to create a world where anyone can belong anywhere.