Senior Machine Learning Engineer, Assistance Engineering

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$196,000–$227,000 / yr
Posted
85 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $212k
$173k most similar roles pay here $287k

This role pays less than 66% of similar roles. Most pay $185,243–$254,750 — the shaded band above. At the midpoint, this role pays about $212k versus about $220k 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 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Assistance Engineering

As a Senior Machine Learning Engineer in the Assistance Engineering team, you will help develop intelligent, scalable customer service experiences by adopting Agentic AI technologies. You will build and enhance Chat, Voice, and Human agent assistants while exploring state-of-the-art architectures to transform customer service into personalized, proactive interactions. Your daily work involves championing novel ML systems, product integrations, and performance optimizations while collaborating cross-functionally with product and design teams. To succeed, you must possess expertise in LLMs, including pretraining, fine-tuning via SFT and RLHF, prompt engineering, RAG architectures, and evaluation frameworks. You will also build Agentic AI systems involving multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines using tools like ReAct or LangGraph. The role focuses on solving complex customer service problems by moving visionary concepts into production-grade ML systems at scale.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Develop and enhance Chat, Voice, and Human agent AI assistants to improve customer service.
  • Build and implement Agentic AI systems including multi-agent orchestration, tool-use, and autonomous reasoning pipelines.
  • Implement advanced LLM techniques such as SFT, RLHF, prompt engineering, and RAG architectures.
  • Develop and optimize ML services, infrastructure, and model serving for production-grade systems at scale.
  • Create automated evaluation frameworks and guardrails for various AI models and applications.
  • Translate early-stage conceptual ideas into production-ready AI solutions for customer service products.
  • Research and integrate state-of-the-art (SOTA) Agentic architectures and machine learning technologies.

What we're looking for

  • PhD or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Experience in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
  • Hands-on expertise in LLM pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and evaluation frameworks.
  • Experience building Agentic AI systems including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines.
  • Experience shipping production-grade ML/AI systems at scale with knowledge of infrastructure, model serving, and MLOps.
  • Excellent communication skills to collaborate across Engineering, Product, and Design organizations.

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