**About the Role** About Customer Obsession AI team: 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 a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation systems, and reliable infrastructure for deployment scale. We are looking for candidates with deep expertise in NLP / GenAI and end-to-end experience launching large scale AI models in production. You will work in a cross functional team to develop customer support assistants that can reason with complex support policies and resolve support issues at Uber scale. **What the Candidate Will Need / Bonus Points** **\-\-\-\- 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. **\-\-\-\- 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. For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.