
About Airbnb
The community marketplace for unique travel stays
Key Highlights
- Over 4 million registered hosts worldwide
- Facilitated over 1 billion bookings since inception
- $3.8 billion raised in Series F funding
- Headquartered in San Francisco, CA
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...
🎁 Benefits
Airbnb offers generous parental and family leave, paid volunteer time, and an annual travel and experiences credit. Employees enjoy health food and sn...
🌟 Culture
Airbnb's culture emphasizes community and belonging, reflecting its mission to create a world where anyone can belong anywhere. The company values fle...
Skills & Technologies
Overview
Airbnb is hiring a Staff Machine Learning Engineer to architect and implement advanced machine learning solutions for enhancing guest and host experiences. You'll work with technologies like recommendation engines and large language models. This position requires significant experience in machine learning and AI.
Job Description
Who you are
You have a strong background in machine learning, with experience in architecting and implementing advanced solutions that drive significant improvements in user experience. Your expertise includes working with recommendation engines, ranking systems, and intent detection models, which are crucial for enhancing the communication and connectivity within the Airbnb community. You are also well-versed in leveraging large language models (LLMs) to create transformative AI experiences that can redefine how hosts and guests interact on the platform.
You thrive in environments where innovation is encouraged, and you are excited about the opportunity to shape early-stage ideas into impactful solutions. Your ability to collaborate with cross-functional teams, including product managers and software engineers, allows you to effectively translate complex machine learning concepts into practical applications that benefit users. You understand the importance of data-driven decision-making and are skilled at using analytics to inform your strategies.
Desirable
Experience with cloud platforms and tools that facilitate machine learning operations is a plus. Familiarity with the latest advancements in AI and machine learning, particularly in the context of enhancing user experiences, will set you apart. You are also encouraged to bring your unique perspective and ideas to the table, as Airbnb values diverse approaches to problem-solving.
What you'll do
In this role, you will be responsible for architecting and implementing machine learning solutions that enhance the communication and connectivity features of Airbnb. You will work on developing recommendation engines that help hosts streamline their operations and provide travelers with personalized information to enhance their stay. Your work will involve creating ranking systems that prioritize the most relevant information for users, ensuring they receive timely and accurate updates.
You will lead initiatives to harness the power of large language models, integrating them into existing platforms to create seamless and intelligent interactions between hosts and guests. This includes designing intent detection models that can understand and respond to user queries effectively, thereby enriching the overall experience on the platform.
As you tackle these challenges, you will have the opportunity to shape the direction of these projects from their conceptual stages, collaborating closely with product and engineering teams to bring your ideas to life. Your contributions will play a critical role in transforming how Airbnb connects its community, making it easier for hosts to manage their listings and for guests to enjoy their travels.
What we offer
Airbnb offers a competitive salary range of $204,000 to $255,000 USD, along with potential bonuses and equity options. You will be part of a dynamic team that values innovation and creativity, providing you with the opportunity to make a significant impact on the company's future. 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 redefining the travel experience for millions of users worldwide.
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