Senior Machine Learning Engineer, Customer Support Engineering - Careers

Airbnb

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $196,000–$227,000 / yr
Posted: 9 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k

This role $212k

$171k most similar roles pay here $272k

This role pays less than 59% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $212k 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.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Machine Learning Engineer, Customer Support Engineering - Careers

Role Posting Log in to save

Join our ML team in Community Support at Airbnb as an experienced Machine Learning Engineer or Research Scientist with 6+ years of relevant industry experience. You will champion the development and optimization of novel AI systems, integrating advanced technologies like SFT, RLHF, RAG/Search, and LLM evaluation frameworks to enhance customer service through Chat AI, Voice AI Assistant, and Human agent support. Your day-to-day involves hands-on work with large language models (LLMs), including pretraining, fine-tuning, prompt engineering, and building agentic AI systems for multi-agent orchestration and autonomous reasoning pipelines. Ideal candidates possess a PhD or Master's degree in Computer Science, Machine Learning, or related fields, along with expertise in shipping production-grade ML/AI systems at scale and understanding of MLOps best practices.

Skills

LLM SFT RLHF GRPO RAG Prompt Engineering Agentic AI MLOps ReAct LangGraph AutoGen Python PostgreSQL Docker Kubernetes CI/CD AWS Terraform Prometheus Grafana

What you'll do

Develop novel ML systems and product integrations to solve real-world problems.
Enhance AI models using SFT, RLHF, GRPO, and other advanced techniques.
Build Agentic AI systems with multi-agent orchestration and autonomous reasoning.
Ship production-grade ML/AI systems at scale with robust MLOps practices.
Evaluate and optimize large language models (LLMs) for various applications.

What we're looking for

PhD or Master's degree in CS, ML, AI or related field with 6+ years of experience.
Expertise in developing and fine-tuning large language models (LLM) using SFT, RLHF, GRPO.
Experience building and integrating agentic AI systems for multi-agent orchestration.
Proven track record of shipping scalable production-grade ML/AI systems at scale.
Deep understanding of ML infrastructure, model serving, and MLOps best practices.
Strong communication skills to collaborate effectively across various technical teams.

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