Uber Engineering

How does Uber Eats power search across billions of stores, dishes, and grocery items? We built a next-gen semantic search platform that understands meaning, not just keywords—handling typos, synonyms, and multiple languages.   read more: https://lnkd.in/gFipisAX #UberEngineering #UberEng

📊 Dig into Ceilometer, Uber’s adaptive benchmarking framework for ensuring system performance and reliability at scale. Learn how it automates performance testing while providing production-like insights and continuous validation. read more: https://lnkd.in/gDvZHuyt #UberEngineering #UberEng

We partnered with Google to eliminate the hassle of logging back in when you switch to a new device. The impact? 4 million fewer manual logins per year. Here's how we made it happen: https://lnkd.in/gRWJP8kR

🚀 We’re excited to share highlights from the 3rd iteration of the Uber GenAI Meetup hosted at our Hyderabad office! Over 70 external AI enthusiasts joined us for an engaging afternoon exploring the future of Generative AI and sharing valuable insights. The meetup featured compelling sessions and discussions, including: • Sameera’s keynote on NOVA: Uber’s AI Support Assistant, showcasing our internal innovations. • Manish Gupta’s fascinating talk on Multimodal Retrieval for Visual Question Answering and Image Search. • A dynamic panel discussion with Manikandan Thangarathnam, Vijaya Saradhi Uppaluri, Manish Gupta, Karthik Vaidhyanathan, and Shefali Jaipuriar on the topic “Adopting Fast Emerging Tech.” A sincere thank you to our expert speakers: Jayaram Valliyur, Siddhartha Jain, Meghana Reddy, and Drishti Singh from Uber, for showcasing AI-powered solutions that solve real-world use cases. We also appreciate the expertise shared by industry pioneers Manish Gupta and Abhilash Ghanore. #UberEngineering #GenAI #TechMeetup #Hyderabad

How does Uber forecast earnings for drivers? Our latest deep dive explores the probabilistic prediction models behind earnings insights in the Driver app, from dynamic heatmaps to trends and alerts. read more: https://lnkd.in/gYseHvYB

📊 Learn how Uber powers real-time, petabyte-scale I/O observability for its data lake powering 2 million compute jobs. read more: https://lnkd.in/gsVcDHZ6 #UberEngineering #UberEng

🔦 By building zone failure resilience into Apache Pinot™, Uber strengthened reliability for real-time analytics, sped up release cycles, and created a foundation for future failure recovery. Now queries and ingestion stay strong, even when zones go dark. read more: https://lnkd.in/gMJ-RjQX

How do you safely ship thousands of ML models without slowing teams down? At Uber, we’ve built guardrails that catch issues early, prevent rollbacks, and raise the bar on reliability. Discover how safety became a measurable standard across our ML ecosystem. read more: https://lnkd.in/g_RVCv4q #UberEngineering #UberEng

✨ The time has come! The Uber Career Prep NAMER/LATAM 2026 applications are now open! ✨ Are you a second year student in Brazil, Canada, Mexico, or the United States who's passionate about coding and ready to launch your career in tech? 🚀 Apply to the Uber Career Prep program!  🔗 https://lnkd.in/gCcrnEqr 🌐 What We Offer: 1) Four skill-building workshops designed to boost social and technical proficiency 2) 1x1 mentorship from industry professionals for the duration of the program  3) Opportunities to collaborate with like-minded peers 4) Chance to interview for a 2027 SWE internship 💡 Why Join Us? 1) Develop essential skills in a supportive environment 2) Get a head start on your career in tech 3) Build your network with industry leaders and fellow students Meet alumni who are driving change at Uber! 🔗https://lnkd.in/gi-vunqy 🗓️ Application Deadline: Nov 11, 2025 Use the link below to apply:  🔗 https://lnkd.in/gCcrnEqr Learn more about the program here: 🔗https://lnkd.in/gi3ttAT6 #softwareengineering #studentopportunities #applynow #ubercareerprep

Uber’s ML platform Michelangelo now supports Integrated Gradients, enabling scalable, interpretable deep model explainability across TensorFlow™ and PyTorch™. Learn how this powers trust, debugging, and decision-making throughout the ML life cycle. read more: https://lnkd.in/g45KMict #ML #Explainability #UberEngineering #UberEng