Machine Learning Engineer, Community Support Engineering

Airbnb

Quick summary

Work type
On-site
Location
San Francisco, CASeattle, WA
Salary
$170,000–$180,000 / yr
Posted
3 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $175k
$159k most similar roles pay here $272k

This role pays less than 87% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $175k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 82 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 52 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Community Support Engineering

Role Posting Log in to save

Join the Core ML team at Community Support as a senior AI engineer responsible for developing and enhancing Agentic AI technologies to provide exceptional customer service. You will champion the creation of novel ML systems, integrate these with products, and optimize performance using state-of-the-art techniques such as SFT, RLHF, RAG, and LLM evaluation frameworks. Your day-to-day involves hands-on work with large language models (LLMs), including pretraining and fine-tuning, while also building autonomous reasoning pipelines like ReAct or LangGraph. You must have a PhD in Computer Science, Machine Learning, or related fields plus 3+ years of experience, along with expertise in shipping production-grade ML systems at scale and understanding MLOps best practices. This role requires strong communication skills to collaborate effectively across various teams within the organization.

Skills

LLM SFT RLHF GRPO Prompt Engineering RAG ReAct LangGraph AutoGen MLOps CI/CD Python TensorFlow PyTorch PostgreSQL Kubernetes Docker AWS Azure

What you'll do

  • Develop novel ML systems and product integrations to solve real-world problems.
  • Enhance AI models using SFT, RLHF, GRPO, prompt engineering, and RAG architectures.
  • Build and optimize production-grade Agentic AI systems for autonomous reasoning.
  • Implement MLOps best practices for scalable model serving and infrastructure.
  • Evaluate LLMs using advanced frameworks to ensure high performance standards.
  • Collaborate with cross-functional teams to integrate ML/AI solutions effectively.

What we're looking for

  • PhD in Computer Science, Machine Learning, AI or related field with 3+ years of experience.
  • Expertise in large language models (LLM) including pretraining, fine-tuning, and evaluation frameworks.
  • Experience building agentic AI systems with multi-agent orchestration and autonomous reasoning pipelines.
  • Track record of shipping production-grade ML/AI systems at scale with MLOps best practices.
  • Strong communication skills for effective collaboration across engineering, product, and design teams.

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