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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Supply & Competitive Intelligence - **Company:** Airbnb - **Location:** East Coast of the United States, United States (Remote available) - **Experience:** Expert - **Salary:** $196,000.0 - $227,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), A/B Testing, Application Programming Interfaces (APIs), Algorithm Design, Software Applications, Architectural Patterns, Artificial Neural Networks, Computer Programming, Continuous Integration, Information Engineering, Data Infrastructure, Python (Programming Language), Machine Learning, Tensorflow, Real Time Systems, Test-Driven Development (TDD), Feature Engineering, Pytorch, Large Language Models, Model Validation, Backend, Information Technology, Machine Learning Operations - **Published:** June 4, 2026 - **Apply:** https://www.workingnomads.com/jobs/senior-machine-learning-engineer-supply-competitive-intelligence-airbnb ## About the Role * 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. * Exceptional programming proficiency in Python (required), with additional experience in Scala, Java, or similar languages for building robust backend systems. * 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. * Hands-on expertise with modern ML frameworks and tooling, such as TensorFlow or PyTorch, to drive innovation in model development. * Experience leading data engineering efforts to build end-to-end ML pipelines, encompassing both high-throughput batch processes and low-latency real-time systems. * Strong command of architectural patterns for high-scale software applications, including the design of extensible APIs, efficient algorithms, and resilient data infrastructure. * A disciplined approach to software craft, including test-driven development, incremental delivery, and modern CI/CD deployment practices. * A Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a closely related technical field. ## Description * 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 * 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 * 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 * 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 * 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 * Stay current with the latest advances in ML and AI, identifying opportunities to incorporate new techniques into the competitive intelligence platform ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)