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Senior Machine Learning Engineer, Support Products - San Francisco California
Company: Karkidi Location: San Francisco, California
Posted On: 05/05/2024
The Community You Will Join:The Airbnb Community Support (CS) team is a global business unit that provides support to our community of millions of guests and hosts who embark on trips and participate in experiences around the world every year. Within CS, the Core Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI to enable an intelligent, scalable and exceptional service experience. The team develops and enhances task-specific Large-Language-Models (e.g. Text Summarization models, Multi-turn Dialogue Language models) and foundational machine learning models (e.g. Named-Entity Recognition, Sentiment modeling) for a wide range of applications in Airbnb. Here are some Medium posts from the team: How AI Text Generation Models Are Reshaping Customer Support at Airbnb, Task-Oriented Conversational AI in Airbnb Customer Support.The Difference You Will Make:As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience. You will also partner with product managers, software engineers, and operation teams to leverage engineering innovations to simplify the business requirements into scalable solutions.A Typical Day: - Design, develop, productionize and operate Machine learning models, including Large-Language-Models, and pipelines at scale, for both batch and real-time use cases.
- Collaborate with machine learning infrastructure engineering teams to evolve how we build reusable and scalable AI solutions for Airbnb products.
- Work with large scale structured and unstructured data, build and continuously improve cutting edge machine learning models for Airbnb product, business and operational use cases.
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing machine learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
- Work collaboratively with cross-functional partners including product managers, operations and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions and quantify impact.Your Expertise:
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