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Airbnb Machine Learning Jobs (NOW HIRING)

Airbnb

Senior Staff Machine Learning Engineer, Trust

$107K - $146K/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb) * Russ Heddleston (CEO ...

WaterSHED

Staff machine learning engineer

Manhattan, NY · On-site

Machine Learning Engineer Specializing In Ai Watershed is the enterprise sustainability platform ... Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate ...

Airbnb

Senior Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics, and machine learning initiatives. * Manage and operate the platform, continually ...

Airbnb

Senior Software Engineer, AI Compute

$191K - $225K/yr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has ... Machine Learning (ML) engineering experience. This platform is the critical foundation that ...

Checkr

Machine Learning Engineer

San Francisco, CA · On-site

Machine Learning Engineer San Francisco, California, United States Checkr is building the data ... Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic. We're a team that ...

Checkr

Machine Learning Engineer

San Francisco, CA · On-site

Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic. We're a team that ... Learning and development allowance * Competitive cash and equity compensation, and opportunity for ...

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Airbnb Machine Learning information

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$25.5K

$42.6K

$88K

How much do airbnb machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for airbnb machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Airbnb, and why are they important?

To thrive as a Machine Learning Engineer at Airbnb, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a degree in a related field and experience with real-world data projects. Proficiency in programming languages like Python or Scala, familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and data pipelines are typically required. Strong problem-solving skills, collaboration, and effective communication set top performers apart in this role. These skills enable engineers to build robust, scalable models that drive product innovation and enhance Airbnb's user experience.

What are some of the most common challenges faced by machine learning engineers at Airbnb when deploying models to production?

Machine learning engineers at Airbnb often encounter challenges related to ensuring data quality and consistency between offline training datasets and real-time production data. Additionally, integrating models with large-scale systems while maintaining low latency and high reliability can be complex. Engineers must also collaborate closely with data scientists, product managers, and software engineers to align model outputs with business objectives and user experience. Ongoing monitoring and rapid iteration are essential to adapt to changing user behavior and platform needs.

What does a Machine Learning Engineer do at Airbnb?

A Machine Learning Engineer at Airbnb develops and implements machine learning models to solve complex business problems, such as optimizing search results, personalizing recommendations, detecting fraud, and improving user experiences. They work closely with data scientists, product managers, and software engineers to design scalable systems that can process large amounts of data. Their role often involves data preprocessing, feature engineering, model training, evaluation, and deployment into production environments.

What is the difference between Airbnb Machine Learning vs Airbnb Data Scientist?

AspectAirbnb Machine LearningAirbnb Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related field; experience in ML algorithmsDegree in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentFocus on developing ML models, algorithms, and automation toolsAnalyze data, generate insights, and support decision-making
Employer & Industry UsageTech-driven, product-focused roles within AirbnbData analysis and strategic insights for Airbnb operations
Common Search & ComparisonOften compared for technical ML skillsCompared for data analysis and business insights

Airbnb Machine Learning specialists focus on building and deploying machine learning models to enhance platform features, while Airbnb Data Scientists analyze data to inform business decisions. Both roles require strong technical skills, but their core responsibilities differ in application and focus within Airbnb's tech ecosystem.

More about Airbnb Machine Learning jobs
What states have the most Airbnb Machine Learning jobs? States with the most job openings for Airbnb Machine Learning jobs include:
What job categories do people searching Airbnb Machine Learning jobs look for? The top searched job categories for Airbnb Machine Learning jobs are:
Airbnb Machine Learning jobs near you
Infographic showing various Airbnb Machine Learning job openings in the United States as of May 2026, with employment types broken down into 18% As Needed, 27% Full Time, 18% Temporary, and 37% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Staff Machine Learning Engineer, Trust

Senior Staff Machine Learning Engineer, Trust

Airbnb

Remote

$107K - $146K/yr

Full-time

Posted 27 days ago

Airbnb rating

5.8

Company rating: 5.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

16th of 20 rated holiday rentals

Job description

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform. Trust Engineering is at the forefront of AI and ML innovation, helping develop novel techniques and advancing the state-of-art in Machine Learning to continually build and maintain trust across our platform.
The Difference You Will Make:
As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb. Although you will be at one of our highest levels of seniority, all individual contributors at Airbnb are Software Engineers which means we expect you to be hands on and contribute code.
A Typical day:
  • Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production ML systems.
  • Serve as a technical leader and mentor to other ML and software engineers across the organization, providing guidance on complex architectural and modeling challenges, and raising the overall technical bar.
  • Drive and deliver large-scale, multi-quarter ML initiatives that span multiple teams, influencing roadmaps and ensuring alignment between platform and product
  • Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
  • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
  • Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Examples include: Anomaly detection models, ML models for continuous risk evaluation, Multimodality and Agentic AI

Your Expertise:
  • 12+ years of industry experience in applied Machine Learning
  • 2-3+ years working with LLMs and novel GenAI technologies. Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization).
  • A Bachelor's, Master's or PhD in CS/ML or related field
  • Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
  • Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. genAI, Agentic AI, natural language processing, computer vision, personalization and recommendation, anomaly detection)
  • Experience with these technologies: AgenticAI, Tensorflow, PyTorch, Kubernetes,
  • Industry experience building end-to-end Machine Learning and Agentic infrastructure and/or building and productionizing Machine Learning models
  • Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
  • Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
  • Experience with the Trust and Risk domain is a plus.

Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range
$244,000-$305,000 USD

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