**About the Role** We are looking for an experienced Engineering Manager to join the Uber Eats Search and Discovery Team. You will be leading a group of talented machine learning engineers and build solutions to enhance the search experience for millions of Uber Eats users worldwide. **What the Candidate Will Do** - Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance. - Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions. - Mentor and provide technical guidance to engineers of the team, fostering their professional growth and development. - Identify new business opportunities to solve problems with the right technologies, and stay up-to-date with the latest advancements in machine learning techniques and technologies. - Build proper process to help team operate efficiently, foster positive team culture, and support team growth. **Basic Qualifications** - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field - 7+ years of experience in developing and deploying machine learning models and algorithms in production environments - 2+ years of experience managing machine learning engineers or scientists - Deep understanding of machine learning algorithms and ranking / recommendation systems - Excellent communication skills and the ability to collaborate effectively with cross-functional teams - Strong programming skills in languages such as Python, Java, or C++ **Preferred Qualifications** - Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field - Experience leading a machine learning team focusing on large scale search and ranking applications. - Familiarity with latest development in the field of deep learning, LLM, generative AI, recommendation system and related fields. Track record of applied research is a plus. - Experience leading a 10+ engineer team and managing managers. For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For all US locations, 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.