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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer II - Machine Learning - **Company:** Uber - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $171,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), C++ (Programming Language), Information Engineering, Software Debugging, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Query Optimization, Software Engineering, Deep Learning, Technical Debt, Backend, Information Technology, Low Latency, Optimization Algorithms, Functional Programming, Data Pipelines, Golang - **Published:** September 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=78463ff53980e07f ## About the Role 3+ years of professional software engineering experience in backend development, distributed systems, or data engineering. Proficiency in one or more object-oriented or functional programming languages (e.g., Go, Java, Python, or C++). Experience in applying machine learning, statistics, or optimization techniques to solve large-scale problems. Experience with data modeling, query optimization, and translating customer problems into system design. Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field. Experience writing tests to verify functionality and establishing monitoring systems to ensure code stability., Experience identifying and reducing code-level technical debt in high-load distributed systems. Background in mentoring new team members and contributing to engineering culture. Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods. Demonstrated ability to exercise sound judgment on engineering trade-offs for complex features. ## Description Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II (MLE), you will architect innovative products and scalable systems that keep the marketplace efficient, reliable, and ready for continued growth. Our systems power hundreds of millions of consumers and millions of merchants around the world, and that footprint is expanding rapidly. You will be solving complex challenges at the intersection of low latency, high correctness, and massive scale. The problems here are messy and the systems are global. You'll need to make smart decisions with imperfect information, own your work end-to-end, and stay calm when high-load systems are on the line. We are looking for engineers who think in systems, pride themselves on robust monitoring, and believe that the best solutions are built through candid feedback and cross-functional collaboration. If you're energized by challenges and motivated to move the real world - this is where you'll grow. What you'll do Design, develop, and maintain high-quality code for features of moderate complexity and projects with multiple dependencies. Develop and optimize ML models to enhance the efficiency of the delivery marketplace Build and scale foundational infrastructure and data pipelines, balancing technical debt and shifting priorities while keeping long-term impact in mind. Own the software lifecycle end-to-end, from drafting design docs to debugging production issues and managing incidents independently. Collaborate across disciplines - including Product, Data Science, and Ops - to translate ambiguous requirements into simple, elegant system designs. Champion engineering best practices by providing quality code reviews, creating comprehensive tests, and improving system performance. Navigate internal complexity and stakeholder inquiries to unblock dependencies and ensure the reliability of our production environment. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [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) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## 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) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-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)