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Airbnb Machine Learning Jobs in California (NOW HIRING)

The PM team at Airbnb is building an incubation machine to rapidly test and launch new business ... Operate with speed and quality, shipping features, learning, and iterating with high throughput.

... Airbnb, Twitter, Amazon/Heroku, Evernote, and other tech stalwarts are doing and bring those cutting-edge details into solutions we sell This architect must be well versed in Machine-learning/AI ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

... AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

Applied AI Engineer

Palo Alto, CA · On-site

$180K - $250K/yr

AI and security leaders from Airbnb, Microsoft, Bain, Deloitte, PwC, Brex, and Instacart ... What you have * 3+ years in an applied AI or machine learning engineering role. * Proven product ...

Resident Engineer

Pleasanton, CA · On-site

$60 - $65/hr

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... Data Science & AI : Experience or hands-on exposure to data science, machine learning, and ...

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Airbnb Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do airbnb machine learning jobs pay per year?

As of Jul 28, 2026, the average yearly pay for airbnb machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

How much do machine learning engineers make at Airbnb?

Machine learning engineers at Airbnb typically earn between $120,000 and $180,000 annually, depending on experience, location, and skill set. Compensation may also include bonuses and stock options, with roles often requiring proficiency in Python, TensorFlow, or similar tools.

Is it hard to get hired by Airbnb?

Getting hired for an Airbnb Machine Learning role can be competitive, often requiring strong technical skills in machine learning, data analysis, and programming languages like Python or R. Candidates typically go through multiple interview rounds that assess technical knowledge, problem-solving ability, and relevant experience. Having a solid portfolio or experience with cloud platforms and machine learning tools can improve chances of success.

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 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.

Which 3 jobs will survive AI?

In the context of Airbnb machine learning roles, jobs that involve complex problem-solving, creative tasks, and human interaction are more likely to survive AI automation. These include data scientists, machine learning engineers, and customer experience specialists, as they require advanced analytical skills, domain expertise, and emotional intelligence. Continuous learning and proficiency with AI tools and programming languages like Python or R can also enhance job security in this field.

How does Airbnb use machine learning?

Airbnb machine learning roles involve developing algorithms to improve search rankings, personalize recommendations, and detect fraudulent activity. These roles require skills in data analysis, model development, and tools like Python and TensorFlow. Machine learning helps enhance user experience and platform security.

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.
Infographic showing various Airbnb Machine Learning job openings in California as of July 2026, with employment types broken down into 23% Full Time, 4% Part Time, 57% Temporary, 2% Contract, 12% Nights, and 2% Summer. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Staff Machine Learning Engineer, Community Support Engineering

Staff Machine Learning Engineer, Community Support Engineering

Airbnb

San Francisco, CA • On-site, Remote

Other

Posted 4 days ago


Airbnb rating

6.1

Company rating: 6.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

16th of 21 rated holiday rentals


Job description

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb's customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you'll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

  • Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
  • Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
  • Learn and share the latest AI/ML technologies with the team.

Your Expertise:

  • PhD/Master's degree, preferably in CS, or equivalent experience
  • 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
  • Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
  • Experience with LLM driven chatbot and Agentic AI products would be a big plus
  • Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations

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.


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