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Uber is looking for a strong backend and AI-curious Software Engineer II to join the AI Security & Governance engineering team within the Privacy, Security & Risk org. This team builds distributed backend and AI-powered systems that operate at Uber scale, enabling engineering teams to safely adopt and innovate with ML and GenAI technologies. In this role, you will work on foundational platforms that protect Uber's data and AI ecosystem. You'll collaborate with senior engineers to design and build reliable, scalable systems, while gaining hands-on experience with production-grade distributed systems and AI-powered detection platforms.
- What the Candidate Will Do ----
- Basic Qualifications ----
- BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.
- Proficiency in at least one of Go, Java, Python, or C++.
- Solid understanding of algorithms, data structures, and software engineering fundamentals.
- Experience building or contributing to production backend or AI systems.
- Preferred Qualifications ----
- Experience developing backend or distributed systems such as microservices, APIs, or data-processing services.
- Familiarity with distributed systems concepts, including reliability, scalability, and performance trade-offs.
- Exposure to ML or AI systems, including model inference, data pipelines, or ML-enabled features.
- Interest or experience applying ML/AI techniques to security, privacy, or risk-related problems (e.g., data classification, PII detection, policy enforcement).
- Experience with system monitoring, observability, and production operations.
Key Skills
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