**About the Role** Uber's Applied AI team is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to enhance the Uber experience for millions of users globally. We are seeking a highly technical Senior Engineering Manager to lead our dynamic team of engineers and AI experts. This role requires a unique blend of technical expertise, leadership skills, and a deep understanding of AI and ML applications. **\-\-\-\- What You Will Do ----** - Oversee a team of engineers and AI experts, fostering a culture of innovation and collaboration. - Provide technical direction for AI projects, ensuring the application of best practices and cutting-edge technologies. - Collaborate with cross-functional teams to align AI initiatives with business objectives. - Manage multiple AI projects, ensuring timely and high-quality delivery. - Stay current with the latest advancements in AI/ML and integrate new technologies into the team's work. **\-\-\-\- Basic Qualifications ----** - Master’s or Ph.D. in Computer Science, Engineering, or a related field. - 10+ years of experience in software engineering, with at least 5 years in a technical leadership role. - Proven expertise in AI and machine learning, including supervised and unsupervised learning, neural networks, natural language processing, computer vision, or reinforcement learning. - Experience deploying AI/ML models in production environments at scale. - Proficiency in programming languages such as Python, Java, or C++. - Strong familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc. - Excellent problem-solving skills and a track record of navigating complex technical challenges. - Strong communication and interpersonal skills, with the ability to lead and inspire a team. **\-\-\-\- Preferred Qualifications ----** - Publications or contributions to AI/ML research in top conferences or journals. - Demonstrated success in managing and delivering large-scale AI projects. - Experience in modern generative AI, such as transformer architectures, diffusion models and prompting. 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.