**About the Role** Customer Support AI team is 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. As one of the senior most engineers on this team, you will work with a cross-functional team to drive critical design decisions and execution. \-\-\-\- What the Candidate Will Do ---- You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end to end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value. - Define the Generative AI technical strategy and roadmap for Customer Support at Uber. Work with cross-functional stakeholders to identify opportunities where Generative AI can transform our business. - Connect with leading industry and academic partners innovating in this field - Direct efforts within the organization to understand requirements and consolidate and translate strategically important business or technical problems into executable and extensible designs. - Lead all aspects of design development that incorporates current short- and long-term needs, and can be extended for future needs. - Identify and advocate for strategic investments in extensible solutions within the organization, and build extensible solutions capable of reuse or integration to avoid redundant development. - Serve as a resource for the team to connect them with broader engineering directions and initiatives. - Scale up initiatives quickly, leveraging and assigning appropriate resources to various tasks and sub-tasks, and facilitating rapid movement towards end-goal. - Set the standard of the engineering and/or people culture within their organization. - Serve as a role model for mentoring and developing engineers into impactful citizens of Uber engineering. - Define standards in testing, monitoring, and alerting systems and lead organizations to complete them. \-\-\-\- Basic Qualifications ---- - PhD or equivalent in Computer Science or related field AND 4-years full-time Software Engineering work experience OR 7-years full-time Software Engineering work experience, which includes 4-years total technical software engineering experience. - Knowledge of NLP, LLMs, GenAI models - Track record of developing and launching large scale deep learning to solve real-world problems. - Machine Learning Software such as Tensorflow/Pytorch, Caffe. - Coding chops, clean, elegant, bug-free code in languages like Java, GO - Must have led teams of engineers to deliver autonomously on large multi-functionally driven projects - Strong desire to learn and grow, while building the best-in-class systems - Experienced at Cross Team Communication: Strong flair for effective communication and collaboration - you know when to push on and when to step back. - Push the bar on engineering standard processes and help leaders build a strong engineering culture - Passionate about helping teams grow by inspiring and mentoring engineers. \-\-\-\- Preferred Qualifications ---- - Experience developing and launching GenAI products at scale. - Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI - Contributed to the broader technical community through tech talks, publications, open source projects, or other ways. - Have a proven track record working across an organization not just across teams. 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).