This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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; Uber One Membership; Delivery Marketplace; Autonomous Mobility & Delivery (AM&D).
Job Responsibility:
Partners 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 complex problems with multiple dependencies
Leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems
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
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
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
Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
Stay up-to-date with standard machine learning algorithms and industry trends to continuously improve our tech stack.
Requirements:
Bachelor’s degree or equivalent in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field with at least 3 year of full-time Machine Learning work experience OR PhD 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
Proficiency in at least one programming language such as Java, C++, Python, or Go
3 years of experience with ML algorithms/modeling- developing, training, productionization and monitoring of ML solutions at scale.
Nice to have:
Master’s degree or higher in Machine Learning, AI, Data Science, Computer Science, Engineering, Mathematics or related field
More than 5 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
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp