ML Engineer - Agentic AI for Customer Service (Remote)

Bazeta; San Francisco (CA); Ibrido; USD 162.000 - 186.000; Tempo pieno

Vantaggi offerti da questo lavoro

Reasonable accommodations

Remote eligible

Descrizione del lavoro

Airbnb is seeking a Machine Learning Engineer in Assistance Engineering (US – Remote Eligible) to drive the development of novel ML systems and AI solutions for customer service. You will work with product, design, and engineering teams to implement scalable AI models and toolchains that enhance guest and host experiences.

The role emphasizes hands-on work with LLMs, multi-agent architectures, and production-grade ML systems at scale, while collaborating across organizations and sharing

Competenze

• PhD or Master’s degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent industry experience.
• Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks.
• Experience building Agentic AI systems, including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines.

Mansioni

• Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products.
• Learn and share the latest AI/ML technologies with the team.

Conoscenze

LLM expertise

Agentic AI

MLOps

Communication

Production ML

Formazione

PhD or Master’s in CS/ML/AI or related

Strumenti

ReAct

LangGraph

AutoGen

Descrizione del lavoro

Airbnb is seeking a Machine Learning Engineer in Assistance Engineering (US – Remote Eligible) to drive the development of novel ML systems and AI solutions for customer service. You will work with product, design, and engineering teams to implement scalable AI models and toolchains that enhance guest and host experiences.

The role emphasizes hands-on work with LLMs, multi-agent architectures, and production-grade ML systems at scale, while collaborating across organizations and sharing