Senior Staff Machine Learning Engineer, Growth Platform Engineering - Careers

Airbnb

Remote Actively hiring Posted today Verified listing

Remote (San Francisco, CA, US) Posted 1 day ago $244,000–$305,000 / year

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Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k

This role $274k

$167k most similar roles pay here $320k

This role pays more than 90% of similar roles. Most pay $185,000–$244,537 — the shaded band above. At the midpoint, this role pays about $274k versus about $215k 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 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR

As a Senior Staff Engineer on the Growth Platform team at Airbnb, you will play a pivotal role in driving long-term sustainable growth by developing AI-powered solutions that enhance personalized and relevant content experiences for users. Your daily responsibilities include collaborating with cross-functional teams to design and implement machine learning models and pipelines that operate globally at scale, ensuring minimal human intervention while maintaining brand safety and compliance. You will leverage cutting-edge technologies such as TensorFlow, PyTorch, Kubernetes, Airflow, and Kafka to build resilient systems that integrate seamlessly with Airbnb’s digital marketing channels and data platforms. With a deep understanding of ML best practices and algorithms, you will mentor engineers in applying AI solutions across various domains, including natural language processing and personalization, to optimize engagement rates and conversions.

Skills

Python Scala Java Tensorflow PyTorch Kubernetes Airflow Apache Kafka CI/CD ML/AI Agile APIs Data Pipelines Feature Engineering A/B Testing Deep Learning Natural Language Processing Computer Vision Recommendation Systems Anomaly Detection Scalability Automation AI Orchestration

What you'll do

Develop AI-powered solutions to autonomously create personalized marketing content.
Utilize machine learning to determine optimal audience and timing for communications.
Design an AI agent that identifies new marketing opportunities and executes campaigns.
Collaborate with cross-functional teams to identify business impact opportunities.
Mentor engineers in applying ML/AI in their solutions and guide engineering decisions.
Develop reusable, high-performing Machine Learning systems at scale.

What we're looking for

12+ years of industry experience in applied machine learning and AI
Strong programming skills in Scala, Python, Java, or equivalent languages
Deep understanding of ML/AI best practices and algorithms
Experience with technologies like TensorFlow, PyTorch, Kubernetes, Airflow, Kafka
Expertise in architectural patterns for large-scale software applications
Experience developing agentic solutions and frameworks using AI technologies
Knowledge of agile practices throughout the AI product development lifecycle