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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - **Company:** Uber - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Unit Testing, C++ (Programming Language), Code Review, Data Structures, Monitoring of Systems, Python (Programming Language), Machine Learning, Routing, Big O, Workflow Management Systems, Containerization, Information Technology, Low Latency, Optimization Algorithms, Machine Learning Operations, Marketplace - **Published:** June 27, 2026 - **Apply:** https://dejobs.org/x/x/D97E1823D8D545CBBCC61565A3AD95AF/job/ ## About the Role * Bachelor's degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Machine Learning work experience OR PhD in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field * Proficiency in at least one programming language such as Java, C++, Python, or Go * 1 year of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale., * Master's degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field. * More than 3 years of full-time machine learning work experience * Experience with the full ML lifecycle (at Uber Scale), including model deployment, containerization and workflow orchestration. * Experience in translating ambiguous business problems into technical solutions in a structured and principled way. * Strong communication skills, including through documentation and design discussions * Experience with optimization techniques and algorithmic development * Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis * High bar for quality as demonstrated by code reviews, documentation, unit and integration testing ## Description Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems., We are building the future of Uber's mobility and logistics platforms. As a software engineer, you will contribute to high-scale, strategically critical systems that impact millions of users and redefine the global transportation and membership landscape. Our teams drive innovation across critical areas including: * Maps & Routing: Building the core technologies for location accuracy, sensor data processing, and state-of-the-art routing algorithms to power ETAs, navigation, and matching for all Uber products. * Uber One Membership: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform. * Delivery Marketplace: Delivery Marketplace is a central pillar of Uber's delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B - from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We're responsible for everything: from dispatch decisions, predicting food ready time, delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber's most critical business goals * Autonomous Mobility & Delivery (AM&D): Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats. What You'll Do * Design, build, and deploy scalable machine learning models to production to solve real-world business problems. * Collaborate with cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specification * Write clean, testable, and efficient code to ensure models run with low latency and high reliability. * Implement monitoring systems to track model performance, stability, and data drift in live environments. * Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack. ## Related Videos - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [Staying Safe in the AI Future](https://www.wearedevelopers.com/videos/521-staying-safe-in-the-ai-future) - [How to Monetize Your APIs](https://www.wearedevelopers.com/videos/749-how-to-monetize-your-apis) - [A Technical Introduction to Bitcoin's 2nd Layer- The Lightning Network](https://www.wearedevelopers.com/videos/15-a-technical-introduction-to-bitcoin-s-2nd-layer-the-lightning-network) ## 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) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)