About the Role

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have. We are looking for a Staff Machine Learning Engineer to join the Eats Search Ranking Team. You will play a critical tech lead role in improving relevance and ranking for search results across all Uber Eats surfaces. Your work will have significant impact on 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. Set long term technical direction for one of the key investment areas in the team (e.g., query understanding, retrieval, ranking), and uphold high engineering and ML quality bar Mentor and grow ML engineers in the team 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. Basic Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field 6+ years of experience in developing and deploying machine learning models and algorithms in production environments Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills Preferred Qualifications: Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field Experience directly tech leading a machine learning team focusing on large scale search and ranking applications. Excellent communication skills and the ability to collaborate effectively with cross-functional teams Strong programming skills in languages such as Python, Java, or C++ 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. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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. 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. 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.

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