# Staff Machine Learning Engineer, Listings and Host Tools Data and AI

**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $204k – $255k/yr
**Experience:** 8+ years
**Skills:** Machine Learning, Natural Language Processing, Computer Vision, Python, Scala, TensorFlow, PyTorch, Kubernetes, Spark, Airflow
**Posted:** 2026-01-30

> Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.

## Job Description

## Responsibilities
- Work with large scale structured and unstructured data to build and improve cutting edge Machine Learning models for Airbnb product, business, and operational use cases.
- Collaborate with cross-functional partners (software engineers, product managers, operations, data scientists) to identify opportunities, refine requirements, drive engineering decisions, and quantify impact.
- Prototype machine learning use cases for product integration and iterate with stakeholders.
- Develop, productionize, and operate Machine Learning models and pipelines at scale (batch and real-time).
- Design and build services and APIs to serve ML model-driven data to product use cases.

## Requirements
- **8+ years** of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
- Experience in **Natural Language Processing** and **Computer Vision**.
- Strong programming (**Scala**, **Python**, **Java**, **C++**) and data engineering skills.
- Deep understanding of ML best practices (training/serving skew minimization, A/B testing, feature engineering), algorithms (gradient boosted trees, neural networks/deep learning, NLP/CV algorithms), and domains (personalization, recommendation, anomaly detection).
- Experience with **3+** of: **TensorFlow**, **PyTorch**, **Kubernetes**, **Spark**, **Airflow**, data warehouse (**Hive**).
- Industry experience building end-to-end ML infrastructure, productionizing models, and integrating with product use cases.
- Exposure to architectural patterns for large-scale software applications (APIs, data pipelines, efficient algorithms/models).
- Experience with test-driven development, A/B testing, incremental delivery and deployment.

## Similar roles

- [Staff GenAI System Engineer, Automation Foundation](https://hotfix.jobs/jobs/76e5cea0-9f41-4400-a08c-9fa33b33b19d) - Airbnb - Remote - $204k – $255k/yr
- [Staff Machine Learning Scientist](https://hotfix.jobs/jobs/73ca9fb4-e9c2-431d-89fe-f62c0b49b311) - Hinge Health - San Francisco, CA - $205k – $307k/yr
- [Staff ML Engineer](https://hotfix.jobs/jobs/7b810302-cdbe-4d85-ade1-9800a7b15356) - Docker - Remote - $205k – $330k/yr
- [Staff Software Engineer, AI Platform](https://hotfix.jobs/jobs/fac2c8c7-4aea-4cfc-8698-a37c842a23ab) - Watershed - San Francisco, CA - $202k – $255k/yr
- [Staff AI Engineer - Applied AI (Remote)](https://hotfix.jobs/jobs/a5450b9e-639b-4054-898c-22b23938cc54) - Rula - Remote - $207k – $243k/yr

**Apply:** https://hotfix.jobs/jobs/c35f6bee-0e8a-49fe-bf70-15f42cec61d6
**Canonical:** https://hotfix.jobs/jobs/c35f6bee-0e8a-49fe-bf70-15f42cec61d6