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

Posted 3w agoSeniorMachine Learning Engineer📍 United States💰 $252,000 - $315,000 / yearly
Apply Now →

Overview

Airbnb is seeking a Senior Staff Machine Learning Engineer to lead projects in relevance and personalization for over 150 million global users. You'll design and deploy advanced ranking algorithms and work with diverse data sources. This role requires expertise in machine learning and data engineering.

Job Description

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models that enhance user experiences. Your expertise in Python and familiarity with various machine learning frameworks enable you to tackle complex problems effectively. You understand the intricacies of data pipelines and have hands-on experience with feature engineering, ensuring that the data you work with is optimized for model training and performance.

You are skilled in model innovation and have a track record of implementing real-time serving systems that deliver personalized recommendations to users. Your experience with large-scale experimentation allows you to design and analyze A/B tests that drive product improvements. You thrive in collaborative environments, partnering with engineers, data scientists, product managers, and designers to create holistic solutions that align with business goals.

Desirable

Experience with diverse data sources, including structured, behavioral, image, and text data, is a plus. Familiarity with cloud platforms and tools for deploying machine learning models will enhance your contributions to the team. You are passionate about pushing the boundaries of AI and machine learning, always seeking to learn and apply new techniques to improve relevance and personalization.

What you'll do

In this role, you will take the lead on projects that power search and recommendations across the Airbnb platform, directly influencing how guests and hosts connect. You will design and deploy state-of-the-art ranking algorithms, ensuring they align with Airbnb's most important business goals. Your work will involve transforming raw data into intelligent signals that drive relevance and personalized recommendations, enhancing the discovery experience for users.

You will collaborate closely with cross-functional teams, leveraging your technical expertise to develop robust systems that optimize user engagement. Your contributions will help shape the future of Airbnb's marketplace, ensuring it remains vibrant and equitable. You will also be responsible for mentoring junior engineers, sharing your knowledge and fostering a culture of learning within the team.

What we offer

Airbnb offers a competitive salary range of $252,000—$315,000 USD, along with potential bonuses, equity, and benefits. You will have the opportunity to work in a dynamic environment that values collaboration and innovation. 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 advancing Airbnb's mission to create a world where anyone can belong anywhere.

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