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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer II, Computer Vision Applied Science - **Company:** Airbnb - **Location:** Vienna, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $248,000.0 - $310,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon S3, Data Analysis, Big Data, Cyber Security, Data Architecture, Data Governance, Data Infrastructure, Data Integrity, Relational Databases, SQL Databases, Apache Spark, Data Management - **Published:** August 14, 2026 - **Apply:** https://www.workingnomads.com/job/go/1792332/ ## About the Role * Leadership Track: 12+ years of industry experience, with a proven track record of leading large-scale data initiatives across multiple departments or business units. * System Design at Scale: Demonstrated expertise in designing and evolving complex data ecosystems within complex, high-volume environments (e.g., Airbnb). * Strategic Collaboration: Experience influencing product and business strategy by leveraging data integrity as a competitive advantage. * Tech Stack Mastery: Deep expertise in the Java/Scala/Spark ecosystem (preferably with knowledge of S3 and Iceberg) with the ability to vet and introduce proven industry approaches and new technologies to the stack. Strong knowledge of relational databases and query authoring (SQL). * Change Management: Strong ability to drive cultural shifts regarding data ownership and quality across an entire engineering organization. ## Description The Data Stewardship team is a group of passionate data practitioners with a diverse background in analytics, data modeling, governance, compliance, and scaled data quality. We are responsible for ensuring Airbnb is meeting its compliance obligations across our data ecosystem and ensuring data consumers are able to easily identify the best data for their needs. We support the pipelines, programs, and policy-bodies that make this possible. You'll be part of the overall Data Infrastructure organization that is responsible for online and offline data infrastructure across the company, and the components that transition data between these environments. The Difference You Will Make * Set the North Star: you will define the multi-year vision for Data Governance and Data Quality that scales with our global business and evolving AI landscape. * Organizational Influence: Act as a primary consultant for executive leadership on data governance, ensuring that compliance and stewardship are integrated into the data product lifecycle from day one. A Typical Day * Architect Ecosystems: Lead the design of overarching data architectures that don't just solve today's batch needs but anticipate future real-time and AI-driven requirements. * Scale Best Practices: Rather than just 'ensuring quality,' you will define the best practices, tooling, and culture that enable data organizations to maintain high-quality data autonomously. * Policy Stewardship: Lead cross-functional task forces (Infosec, Legal, Privacy) to navigate complex regulatory landscapes (like GDPR or AI Act) and translate them into engineering requirements. * Mentor and Multiply: Coach Senior and Staff engineers across the organization on data best practices, fostering a community of excellence. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)