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Airbnb Machine Learning Jobs (NOW HIRING)

Airbnb

Product Manager, Incubations

San Francisco, CA · On-site

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.

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... Applies data science, machine learning and other analytical modeling methods to develop defensible ...

MatchPoint Solutions

Senior AI/ML Architect

San Jose, CA · On-site +1

We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google ... AI & Machine Learning * Deep expertise with: * AWS Bedrock * Bedrock AgentCore (Runtime, Memory ...

Posted today

Sonsoft Inc

Social Media Architect

San Jose, CA

... 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 ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

... 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 ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

... 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 ...

Collate

AI Research Scientist

San Francisco, CA · On-site

... 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 ...

Zania, Inc

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 ...

Doist

Senior Software Engineer, Applied AI

Manhattan, NY · On-site

$168 - $230/hr

Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At ... machine learning models, and AI products. Leveraging this, our R&D team is developing a global ...

New

Match Point Solutions

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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Showing results 21-40

All JobsAirbnb Machine Learning Jobs

Airbnb Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do airbnb machine learning jobs pay per year?

As of Aug 9, 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?

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.

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.
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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior Applied AI/ML Scientist - Retailer

Faire

San Francisco, CA • On-site

$211K - $290K/yr

Full-time

Posted 15 days ago

Job description

About this role

Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.

At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive.

As a Data Scientist on the Retailer team, you'll tackle a diverse set of challenges, such as optimizing logistics and freight costs and calculating optimal credit limits. You'll also contribute to growing Faire's retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime value. You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data.

Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there! 

What you'll do 

  • Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. These models may use live carrier information and be both performant and explainable.
  • Underwriting: Improve Faire's Net terms portfolio by evaluating creditworthiness of retailers on Faire's platform. Use predictive modeling to dynamically assign credit terms limits that minimize default risk and maximize growth.
  • Retailer Growth & Lifecycle: Build models to automatically generate landing pages and content to target search engine demand. Use natural language processing to understand search engine keyword intent and match to relevant internal content. Build ML models to generate intelligence about retailers to power personalization. Predict retailer lifetime values to optimize retailer acquisition spend.

Qualifications

  • An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
  • Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
  • Strong programming skills (Python, Java, Kotlin, C++)
  • Knowledge of statistical techniques such as experimentation and causal inference
  • SQL or other database querying experience preferred
  • An excitement and willingness to learn new tools and techniques

Salary Range

California: the pay range for this role is $211,000 to $290,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

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