Airbnb

About Airbnb

The community marketplace for unique travel stays

🏢 Tech👥 1001+ employees📅 Founded 2008📍 Showplace Square, San Francisco, CA💰 $3.8b4.2
B2CHospitalityB2BTravelMarketplaceSharing Economy

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...

Airbnb

Machine Learning Engineer Senior

AirbnbUnited States - Remote

Posted 3w ago🏠 RemoteSeniorMachine Learning Engineer📍 United States💰 $244,000 - $305,000 / yearly
Apply Now →

Overview

Airbnb is seeking a Senior Staff Machine Learning Engineer to architect and implement advanced machine learning solutions, including recommendation engines and intent detection models. You'll work with technologies like Python and Large Language Models to enhance guest and host experiences. This role requires significant experience in machine learning and AI.

Job Description

Who you are

You have extensive experience in machine learning, with a strong focus on developing and implementing advanced algorithms that enhance user experiences. Your background includes working with recommendation systems and intent detection models, showcasing your ability to translate complex data into actionable insights. You are proficient in Python and have a solid understanding of Large Language Models, which you leverage to create transformative AI experiences. You thrive in collaborative environments, working closely with cross-functional teams to drive innovation and improve customer interactions. You are comfortable navigating early-stage conceptual projects, bringing ideas to life through your technical expertise and creativity. You understand the importance of data-driven decision-making and are skilled at analyzing and interpreting data to inform your strategies.

Desirable

Experience with cloud platforms and tools that support machine learning workflows is a plus. Familiarity with data engineering practices and the ability to work with large datasets will enhance your contributions to the team. A passion for improving user experiences through technology and a willingness to explore new methodologies will set you apart.

What you'll do

In this role, you will architect and implement advanced machine learning solutions that directly impact Airbnb's community. You will lead efforts to develop recommendation engines that personalize user experiences, ensuring that hosts and travelers receive the right information at the right time. Your work will involve creating intent detection models that streamline communication and enhance operational efficiency for hosts. You will also explore the integration of intelligence into existing platforms, driving innovation in how Airbnb connects with its users. As you tackle projects in their early conceptual stages, you will have the opportunity to shape ideas and influence the direction of machine learning initiatives within the company. Collaboration with product managers, engineers, and designers will be key as you work to enhance the overall guest and host experience on Airbnb.

What we offer

Airbnb offers a competitive salary range of $244,000—$305,000 USD, along with potential bonuses and equity options. You will be part of a dynamic team that values innovation and creativity, working in a culture that encourages collaboration and professional growth. The role is fully remote, allowing you to work from anywhere in the United States while contributing to a mission-driven company that connects people and communities around the world. We believe in the power of diverse teams and encourage you to apply even if your experience doesn't match every requirement. Join us in shaping the future of travel and hospitality through cutting-edge technology.

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