Junior/Senior/Staff Machine Learning Engineer, Community Support Engineering

📋 Description

• • Join Airbnb's pioneering Community Support Products (CSP) Machine Learning team, a critical hub for driving Customer Support x Artificial Intelligence (CSxAI) initiatives.
• • This role is at the forefront of integrating cutting-edge Generative AI technologies to create intelligent, scalable, and exceptional service experiences for Airbnb's global community of hosts and guests.
• • You will be instrumental in developing and enhancing a diverse array of AI models, ML services, and sophisticated tools, including advanced LLM fine-tuning and optimization, Retrieval-Augmented Generation (RAG) and search functionalities, and robust LLM evaluation and testing automation.
• • Contribute to a feedback-driven learning ecosystem and implement essential guardrails for a wide spectrum of applications within the Airbnb platform.
• • Leverage the immense richness of Airbnb's data, the intricate complexities of its marketplace, and the inherent variety of its product offerings to operate at the absolute state-of-the-art in AI practice.
• • Be part of a team deeply committed to long-term innovation, tackling complex challenges and pushing the boundaries of what's possible in AI and ML.
• • Your work will directly transform Airbnb's customer service, moving beyond current capabilities to deliver personalized, intuitive, and proactive support experiences that redefine guest and host satisfaction.
• • Many of the initiatives you will engage with are in their nascent conceptual stages, offering a unique opportunity to shape groundbreaking ideas from their inception through to production, translating visionary concepts into tangible, impactful realities.
• • You will envision, champion, and actively support the development of novel ML systems, seamless product integrations, and performance optimizations designed to solve critical real-world problems.
• • Collaborate closely with cross-functional teams, including product managers, designers, and fellow engineers, to architect and build efficient, scalable AI solutions tailored for Airbnb's customer support products.
• • Embrace a culture of continuous learning and knowledge sharing, staying abreast of the latest advancements in AI/ML technologies and disseminating this knowledge across teams in both China and the US.
• • This role offers a dynamic environment where you can apply your expertise to shape the future of customer service through advanced AI, contributing significantly to Airbnb's mission of creating a world where anyone can belong anywhere.
• • You will be responsible for the end-to-end lifecycle of ML models, from ideation and experimentation to deployment, monitoring, and iteration, ensuring they meet high standards of performance, reliability, and ethical considerations.
• • Engage in rigorous experimentation and evaluation of different ML approaches, including deep learning architectures, natural language processing techniques, and reinforcement learning, to find the most effective solutions.
• • Contribute to the development and maintenance of robust MLOps pipelines, enabling efficient model training, deployment, and management at scale.
• • Analyze and interpret complex datasets to identify opportunities for ML-driven improvements in customer support workflows and user experiences.
• • Present technical findings and project progress to both technical and non-technical stakeholders, fostering alignment and driving decision-making.
• • Mentor junior engineers and contribute to the team's overall technical growth and development.
• • Stay informed about industry trends, emerging technologies, and best practices in machine learning and artificial intelligence, particularly within the domains of customer service and generative AI.
• • Play a key role in ensuring the responsible and ethical deployment of AI technologies, aligning with Airbnb's values and commitment to user trust and safety.
• • The opportunity to work on high-impact projects that directly influence the experience of millions of users worldwide.
• • A collaborative and inclusive work environment that values diverse perspectives and encourages innovation.
• • The chance to be part of a company that is a leader in the travel and hospitality industry, leveraging technology to create unique and memorable experiences.