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Home›Jobs›Airbnb›Senior Machine Learning Engineer, Automation Platform
Airbnb

About Airbnb

The community marketplace for unique travel stays

🏢 Tech👥 1001+ employees📅 Founded 2008📍 Showplace Square, San Francisco, CA💰 $3.8b⭐ 4.2
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...

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Airbnb

Senior Machine Learning Engineer, Automation Platform

Airbnb • Remote-USA

Posted 5d ago🏠 RemoteSeniorMachine learning engineer📍 United states
Apply Now →

Skills & Technologies

PythonMachine learningTensorFlowKerasNatural Language Processing

Overview

Airbnb is seeking a Senior Machine Learning Engineer for their Automation Platform team to enhance their conversational AI capabilities. You'll work with Python, TensorFlow, and Keras to improve customer service experiences. This role requires expertise in machine learning and natural language processing.

Job Description

Who you are

You have 5+ years of experience in machine learning and AI, with a strong background in developing and deploying machine learning models at scale. Your expertise in Python is complemented by your proficiency in frameworks like TensorFlow and Keras, allowing you to build robust AI solutions. You understand the intricacies of natural language processing and have hands-on experience with conversational AI systems. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful AI-driven products. You are passionate about leveraging technology to enhance customer experiences and are eager to explore state-of-the-art architectures in large language models.

Desirable

Experience with large-scale conversational AI platforms is a plus, as is familiarity with cloud services like AWS or GCP. A background in software engineering principles will help you navigate the complexities of integrating AI solutions into existing systems. You are comfortable with data pipelines and have a keen interest in the latest advancements in AI and machine learning.

What you'll do

As a Senior Machine Learning Engineer at Airbnb, you will play a pivotal role in enhancing our conversational AI platform. You will work on improving the architecture and capabilities of our AI systems, ensuring they meet the demands of our growing user base. Your responsibilities will include designing and implementing machine learning models that drive customer interactions, as well as optimizing existing algorithms for better performance. You will collaborate with product managers and engineers to define the requirements for new AI features and ensure seamless integration into our customer service channels.

You will also be responsible for conducting experiments to evaluate the effectiveness of different AI approaches, analyzing data to derive insights, and iterating on your solutions based on user feedback. Your work will directly impact the efficiency and reliability of our customer service operations, contributing to Airbnb's mission of providing exceptional experiences for our hosts and guests.

What we offer

Airbnb offers a competitive salary range of $191,000—$223,000 USD, along with potential bonuses and equity options. You will have the opportunity to work in a fully remote environment, allowing for flexibility in your work-life balance. Our culture emphasizes collaboration and innovation, providing you with the resources and support needed to excel in your role. Join us in shaping the future of customer service through cutting-edge AI technology and make a meaningful impact on millions of users worldwide.

Interested in this role?

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