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Senior Machine Learning Engineer, Supply & Competitive Intelligence

airbnb

📍 Remote - USA, US🌍 Remote🕐 6/3/2026
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Role overview

airbnb is hiring for the Senior Machine Learning Engineer, Supply & Competitive Intelligence role in Remote - USA, US. It is a position with remote work available, Senior level, in the Tech sector. It was posted 6/3/2026.

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Role
Senior Machine Learning Engineer, Supply & Competitive Intelligence
Company
airbnb
Location
Remote - USA, US
Work mode
Remote
Seniority
Senior
Sector
Tech
Posted
6/3/2026

Description

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Community You Will Join: </strong></span></p> <p>Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand. You will be a crucial part of the Guest and Host organization, building the intelligence that powers the web and native apps used by hundreds of millions of guests and hosts globally.</p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Difference You Will Make:</strong></span></p> <p>Supply &amp; Competitive Intelligence sits at the intersection of Data/AI and Airbnb's competitive strategy. As the engineer leading crawling infrastructure for the Competitive Intelligence platform, you will build the systems that give Airbnb a real-time, comprehensive view of the global travel market — how competitors price, list, and supply their inventory across every market Airbnb operates in.</p> <p>Your work will directly shape Airbnb's understanding of its competitive landscape, feeding ML models and data products that inform pricing strategy, supply growth, and product decisions for hundreds of millions of guests and hosts around the world.</p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>A Typical Day:&nbsp;</strong></span></p> <ul> <li>Design and deploy ML models that extract and structure competitive intelligence signals — supply availability, pricing patterns, and market saturation — from large-scale crawled datasets across global competitors</li> <li>Build and maintain end-to-end ML pipelines spanning feature engineering, offline training, and low-latency online serving, ensuring high data fidelity and resilience to upstream schema drift</li> <li>Apply entity resolution and matching techniques to accurately map competitor listings and markets to Airbnb's internal supply taxonomy, using methods such as embedding models, gradient boosted trees, and transformer-based architectures</li> <li>Partner with the crawling infrastructure engineer, data engineers, and product teams to translate competitive intelligence needs into well-defined ML problem formulations and measurable success criteria</li> <li>Run rigorous offline and online experiments to evaluate model quality, and collaborate with Pricing, Supply Growth, and Strategy stakeholders to turn model outputs into actionable business decisions</li> <li>Stay current with the latest advances in ML and AI, identifying opportunities to incorporate new techniques into the competitive intelligence platform</li> </ul> <p><br><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>Your Expertise:</strong></span></p> <ul> <li>5–10 years of professional experience in applied Machine Learning, with a proven track record of architecting and deploying high-impact models into production at global scale.</li> <li>Exceptional programming proficiency in Python (required), with additional experience in Scala, Java, or similar languages for building robust backend systems.</li> <li>Deep mastery of ML fundamentals and best practices—including feature engineering, model selection, A/B testing, and training/serving skew mitigation—alongside advanced algorithms like gradient boosted trees, neural networks, and transformers.</li> <li>Hands-on expertise with modern ML frameworks and tooling, such as TensorFlow or PyTorch, to drive innovation in model development.</li> <li>Experience leading data engineering efforts to build end-to-end ML pipelines, encompassing both high-throughput batch processes and low-latency real-time systems.</li> <li>Strong command of architectural patterns for high-scale software applications, including the design of extensible APIs, efficient algorithms, and resilient data infrastructure.</li> <li>A disciplined approach to software craft, including test-driven development, incremental delivery, and modern CI/CD deployment practices.</li> <li>A Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a closely related technical field.</li> </ul> <p>&nbsp;</p> <p><span style="color: #000000; font-family: arial, helvetica, sans-serif;"><strong>Your Location:</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><span style="font-weight: 400;">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. <a style="color: #000000;" href="https://careers.airbnb.com/">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.</a></span><span style="font-weight: 400;"> If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</span></span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>Our Commitment To Inclusion &amp; Belonging:</strong></span></p> <p><span style="font-weight: 400; font-family: arial, helvetica, sans-serif; color: #000000;">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.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><span style="font-weight: 400;">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: </span><a style="color: #000000;" href="mailto:[email protected]"><span style="font-weight: 400;">[email protected]</span></a><span style="font-weight: 400;">. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.&nbsp;</span></span></p> <p><span style="font-weight: 400; font-family: arial, helvetica, sans-serif; color: #000000;">We ask that you only reach out to us if you are a candidate whose disability prevent

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