Senior Staff Machine Learning Engineer, Trust

Airbnb

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$244,000–$305,000 / yr
Posted
101 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $234k
This role $274k
$170k most similar roles pay here $319k

This role pays more than 85% of similar roles. Most pay $211,687–$256,950 — the shaded band above. At the midpoint, this role pays about $274k versus about $234k 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.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Senior Staff Machine Learning Engineer, Trust

Senior Staff Machine Learning Engineer, Trust joins the Trust Engineering team to develop technology protecting the community from fraud, including monetary loss, compromised accounts, and property damage. This high-level individual contributor role involves defining long-term machine learning vision, architecting scalable solutions, and mentoring engineers while remaining hands-on with code production. The candidate will build and operate large-scale models for anomaly detection, risk evaluation, multimodality, and agentic AI using structured and unstructured data. Required expertise includes over twelve years of experience in applied machine learning, including work with LLMs, generative AI, and agentic frameworks. Technical skills include proficiency in Python, Scala, Java, or C++, along with experience in TensorFlow, PyTorch, and Kubernetes. The role addresses critical trust and risk challenges by developing advanced models to ensure platform safety and integrity across various product use cases.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Define and execute the long-term machine learning technical vision and strategy for the Trust organization.
  • Architect and build scalable production ML systems to detect fraud and ensure platform safety.
  • Develop and productionize high-scale machine learning models and pipelines for both batch and real-time use cases.
  • Implement advanced technologies including LLMs, Generative AI, and Agentic AI frameworks.
  • Mentor other engineers and provide guidance on complex architectural and modeling challenges.
  • Lead multi-quarter ML initiatives that span multiple teams to align platform and product goals.
  • Collaborate with cross-functional partners to identify business impacts and prioritize requirements for machine learning models.
  • Write production code and contribute directly to the development of trust defense technologies.

What we're looking for

  • Bachelor’s, Master’s, or PhD in CS, ML, or a related field.
  • 12+ years of industry experience in applied Machine Learning.
  • 2-3+ years of experience working with LLMs and novel GenAI technologies.
  • Proven expertise in Agentic AI including frameworks, orchestration, architecture, and productionization.
  • Proficiency in programming languages such as Scala, Python, Java, or C++.
  • Deep understanding of ML best practices, algorithms, and domains like NLP, computer vision, and anomaly detection.
  • Experience with technologies including TensorFlow, PyTorch, and Kubernetes.
  • Experience building end-to-end Machine Learning infrastructure and productionizing models at scale.

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