
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 • United States
Airbnb is seeking a Senior Staff Machine Learning Engineer to develop AI-powered solutions that enhance customer experiences. You'll work with technologies like Python and TensorFlow to drive innovation in support systems. This role requires extensive experience in machine learning and AI techniques.
You have 5+ years of experience in machine learning engineering, with a strong background in developing AI solutions that enhance user experiences. Your expertise in Python and frameworks like TensorFlow and Keras allows you to build robust models that can be deployed at scale. You thrive in collaborative environments, working closely with cross-functional teams to brainstorm and design innovative AI products. Your architectural thinking and mentorship skills enable you to guide junior engineers and foster a culture of learning and growth within your team.
You possess a deep understanding of machine learning algorithms and techniques, and you are adept at applying them to real-world problems. Your experience includes working with large datasets, conducting experiments, and optimizing models for performance and accuracy. You are passionate about leveraging AI to create impactful solutions that improve customer support and engagement. You are comfortable navigating complex technical challenges and enjoy the process of transforming ideas into production-ready systems.
Experience with generative AI techniques is a plus, as is familiarity with cloud platforms like AWS or GCP. You may have contributed to open-source projects or published research in the field of AI, showcasing your commitment to advancing the discipline. You are always eager to learn about the latest trends and advancements in machine learning and AI, and you actively seek opportunities to apply new knowledge in your work.
In this role, you will lead the development of AI-powered solutions that transform how Airbnb delivers support to its global community. You will collaborate with product managers, designers, and other engineers to identify opportunities for AI integration and drive the design and implementation of new features. Your responsibilities will include conducting research to inform model development, designing experiments to validate hypotheses, and iterating on solutions based on user feedback and performance metrics.
You will also be responsible for mentoring and guiding other engineers on the team, sharing your knowledge and expertise to help them grow in their roles. You will participate in code reviews, ensuring that best practices are followed and that the codebase remains maintainable and scalable. Your contributions will directly impact the customer experience, enabling faster and more personalized support interactions.
As part of the Community Support Engineering team, you will play a key role in shaping the future of support at Airbnb. You will work on projects that leverage cutting-edge AI techniques, contributing to a multi-year transformation that aims to enhance the way support is delivered globally. Your work will help create a world where anyone can belong anywhere, with support that is always just a moment away.
Airbnb offers a competitive salary range of $244,000—$305,000 USD, along with potential bonuses, equity, and benefits. You will have the opportunity to work in a dynamic and inclusive environment that values innovation and collaboration. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in our mission to create a world where anyone can belong anywhere.
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