# Senior Staff Machine Learning Engineer, Community Support Engineering

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $244k – $305k/yr
**Experience:** 10+ years
**Skills:** Generative AI, Llm Fine-Tuning, RAG, Machine Learning, Deep Learning, NLP, Neural Networks, A/B Testing, Feature Engineering, Ml Pipelines
**Posted:** 2026-02-11

> Senior ML engineer leads development of GenAI models and pipelines for Airbnb's customer support, productionizing at scale. Requires PhD, 10+ years ML experience including 2+ in GenAI, and expertise in NLP, deep learning, and agile AI practices.

## Job Description

## Responsibilities
- Work with large-scale structured and unstructured data to build and improve ML models and pipelines for product, business, and operational use cases.
- Collaborate with product managers, operations, and data scientists to identify opportunities, refine requirements, and drive engineering decisions.
- Develop, productionize, and operate ML models and pipelines at scale for batch and real-time use cases.
- Leverage ML tools and infrastructure for reusable, high-performing systems with fast development, low-latency serving, and model quality upkeep.

## Requirements
- **Education**: PhD in Computer Science, Mathematics, Statistics, or related field.
- **Experience**: 10+ years building, testing, and shipping AI models/products; 2+ years with GenAI; 5+ years leading applied science/ML teams as senior IC.
- **Technical Skills**: Deep knowledge of ML best practices (training/serving skew, A/B testing, feature engineering), algorithms (neural networks, deep learning, optimization), and domains (NLP, computer vision, personalization, search/recommendation, marketplace optimization, anomaly detection).
- Experience with AI in customer support, full AI product lifecycle with agile practices, building testing frameworks for agents, and ML infrastructure architecture.
- Ability to quickly learn and integrate new concepts.

## Compensation
Base pay range: $244,000 - $305,000 USD. May include bonus, equity, benefits, and Employee Travel Credits.

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