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Uber AI’s mission is to optimize and advance Uber’s products and operations through cutting-edge machine learning and AI technologies. The organization comprises several teams, including the Machine Learning Platform team, which enables scalable ML across Uber. We provides foundational components to empower product teams in creating innovative and personalized user experiences. The broader group brings together machine learning engineers, backend and mobile engineers working collaboratively to solve high-impact business challenges.
Job Responsibility:
Design and develop software and tools (pipeline build infrastructure) that power a state-of-the-art machine learning platform
Lead system architecture design efforts, including the integration and management of upstream and downstream dependencies
Drive operational efficiency through automation in areas such as capacity planning, configuration management, performance optimization, monitoring, and root cause analysis
Participate in on-call rotations and provide timely support for critical production issues
Requirements:
Minimum of 4 years of experience in systems software engineering, with a strong foundation in computer architecture and core computer science principles
Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience
Proficiency in at least one of the following programming languages: Java, Go, Python, or C/C++
Solid working knowledge of networking, Linux, Docker, databases, and distributed processing technologies such as Ray, Hadoop, Hive, and/or Spark
Nice to have:
Proven experience in designing, building, and operating distributed systems and high-throughput services
Strong analytical and problem-solving skills, with a solid understanding of algorithms, data structures, and computational complexity
Demonstrates grit, initiative, and a strong sense of ownership, alongside a collaborative mindset and leadership capabilities
Hands-on experience using machine learning frameworks in production environments
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp