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Home›Jobs›Airbnb›Senior Staff Machine Learning Engineer - AI Safety and Guardrail
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 Staff Machine Learning Engineer - AI Safety and Guardrail

Airbnb • United States

Posted 3w agoSeniorMachine learning engineer📍 United states
Apply Now →

Skills & Technologies

Machine learningAIGenerative aiLlmPython

Overview

Airbnb is seeking a Senior Staff Machine Learning Engineer focused on AI Safety and Guardrail. You'll work on enhancing AI models and ensuring the reliability and safety of AI-powered systems. This role requires expertise in machine learning and generative AI technologies.

Job Description

Who you are

You have extensive experience in machine learning and artificial intelligence, with a strong focus on safety and governance standards. Your background includes working with AI models and ML services, particularly in the context of generative AI technologies. You are skilled in Python and have a deep understanding of LLM fine-tuning and optimization. You thrive in collaborative environments, working cross-functionally with engineering, product, and policy teams to ensure the reliability and safety of AI systems. You are passionate about creating exceptional service experiences through innovative AI solutions.

Desirable

Experience with feedback-based learning and guardrail implementations is a plus. Familiarity with monitoring and enforcing technical safety standards in AI systems will set you apart. You are also comfortable with data-driven decision-making and have a keen interest in the ethical implications of AI technologies.

What you'll do

As a Senior Staff Machine Learning Engineer at Airbnb, you will be a key member of the Community Support Products Machine Learning team. Your primary responsibility will be to ensure that AI-powered systems, including chatbots and AI Assistants, are reliable and safe. You will collaborate with various teams to build, monitor, and enforce technical safety measures. Your work will involve developing and enhancing AI models and ML services, focusing on generative AI technologies to improve user experiences. You will also be responsible for evaluating and testing LLMs, ensuring they meet the highest standards of safety and reliability. Your contributions will directly impact the quality of service provided to Airbnb's hosts and guests, making their experiences more authentic and enjoyable.

What we offer

Airbnb offers a competitive salary range of $244,000 to $305,000 USD, along with potential bonuses and equity options. You will have the opportunity to work in a dynamic environment that values innovation and collaboration. The company promotes a culture of continuous learning and growth, providing resources for professional development. You will be part of a mission-driven organization that aims to connect communities and enhance the travel experience for millions of guests worldwide. Join us in shaping the future of AI at Airbnb, where your work will have a meaningful impact on the lives of people around the globe.

Interested in this role?

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