Customer Obsession AI team’s mission is to transform customer support by creating highly efficient and magical support experiences for Uber customers by leveraging the power of data and AI. We specialize in NLP, GenerativeAI and Computer Vision. We are building autonomous GenAI Conversational Assistants for customer support and Agent Co-pilot systems that can provide intelligent, personalized and empathetic support. We are solving challenges such as multilingual (80+ languages) and multi-modal (images + text for now and in future voice) conversational intelligence, autonomous reasoning and policy-adherence, and AgenticAI. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation and monitoring systems, and reliable infrastructure for deployment at Uber scale. We are a mission-driven, highly collaborative team working out of Bangalore/Hyderabad in India and Sunnyvale/SF in the US. \-\-\-\- What the Candidate Will Do ---- - Manage a team of AI engineers to build GenAI based conversational support assistants and agent Co-pilot technology. - Encourage innovation, implementation of cutting-edge AI technologies, outside-of-the-box thinking, teamwork, and self-organization. - Present findings to senior leadership to inform business decisions. - Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from ideation to productionization and ship great experiences for our customers. - Bring a passion to stay on top of industry trends, experiment with and learn new technologies, and participate in internal and external technical communities - Own the craftsmanship, reliability, and scalability of your solutions. - Mentor and guide the professional and technical development of engineers on your team, and continuously improve end-to-end AI development practices. - Hire top performing engineering talent and maintaining our commitment to diversity and inclusion. \-\-\-\- Basic Qualifications ---- - Bachelor's degree in Computer Science. - 4+ years of experience managing a team of ML engineers owning the end-to-end development and launch of innovative algorithms. - Experience setting roadmap and goals for the engineering team and leading engineering projects from planning through review stages. - Experience consulting with key partners, maximizing engineering resources, using measurable metrics and/or KPIs, and collating technical artifacts to make key engineering decisions. - Experience hiring, team building, performance management, mentorship, and employee development. - Experience advocating engineering best practices and driving engineering excellence within their team and organization. \-\-\-\- Preferred Qualifications ---- - PhD in Computer Science with a focus on Machine Learning. - Experience with the latest NLP and Generative AI technologies. - 5 years of software engineering experience. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).