
The community marketplace for unique travel stays
Airbnb, headquartered in Showplace Square, San Francisco, CA, has transformed the hospitality industry with its platform that connects over 4 million hosts to travelers. Since its inception, Airbnb has facilitated over a billion bookings, disrupting traditional accommodation models by allowing indiv...
Airbnb offers generous parental and family leave, paid volunteer time, and an annual travel and experiences credit. Employees enjoy health food and sn...
Airbnb's culture emphasizes community and belonging, reflecting its mission to create a world where anyone can belong anywhere. The company values fle...

Airbnb • Remote-USA
Airbnb is hiring a Senior Machine Learning Engineer to enhance the Host and Guest experience through advanced ML models. You'll work with Python and various data technologies to drive insights and improvements. This role requires significant experience in machine learning and data analysis.
You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying machine learning models that drive business impact. You are proficient in Python and have hands-on experience with frameworks such as TensorFlow and PyTorch, enabling you to develop cutting-edge solutions for complex problems.
Your expertise extends to data analysis, where you are comfortable working with both structured and unstructured data. You understand the importance of data quality and are skilled in feature engineering and model evaluation, ensuring that the models you build are robust and reliable.
You thrive in collaborative environments, working closely with cross-functional teams including Data Scientists, Product Managers, and Software Engineers. Your communication skills allow you to effectively convey technical concepts to non-technical stakeholders, fostering a shared understanding of project goals and outcomes.
You are passionate about leveraging machine learning to enhance user experiences, and you stay updated on the latest trends and advancements in the field. You are eager to apply your knowledge to improve Airbnb's offerings and contribute to the company's mission of creating unique travel experiences.
Experience with MLOps practices is a plus, as you understand the importance of deploying and maintaining machine learning models in production environments. Familiarity with cloud platforms such as AWS or GCP can enhance your ability to scale solutions effectively.
In this role, you will work with the Supply & Insights Data and AI team to develop and improve machine learning models that enhance the Host and Guest experience on Airbnb. You will collaborate with Data Scientists and other ML Engineers to identify opportunities for leveraging data and machine learning to drive insights and business value.
Your day-to-day responsibilities will include designing and implementing machine learning algorithms, conducting experiments to validate model performance, and iterating on solutions based on feedback and results. You will also be responsible for building data pipelines that ensure the availability of high-quality data for model training and evaluation.
You will engage with various stakeholders across the organization, including Product Engineering and Strategic Finance, to understand their needs and translate them into actionable machine learning solutions. Your work will directly impact Airbnb's ability to remain competitive in the marketplace by providing valuable insights to hosts and guests alike.
Airbnb offers a competitive salary range of $191,000—$223,000 USD, along with potential bonuses and equity options. You will have access to comprehensive benefits and Employee Travel Credits, allowing you to experience the unique stays that Airbnb offers.
Join a diverse and inclusive team that values collaboration and innovation. You will have the opportunity to work on meaningful projects that have a real impact on the travel industry, all while enjoying the flexibility of a remote work environment.
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