About the Role

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 Need / Bonus Points

---- What the Candidate Will Do ----

1. Lead the team in design, development, and deployment ofstate-of-the-art machine learning models and algorithms to solve business problems and improve product performance.
2. Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions.
3. 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
4. Mentor and grow ML engineers in the team
5. 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 ----

1. Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
2. 9+ years of experience in developing and deploying machine learning models and algorithms in production environments
3. Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills

---- Preferred Qualifications ----

1. Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
2. Experience directly tech leading a machine learning team focusing on large scale search and ranking applications.
3. Excellent communication skills and the ability to collaborate effectively with cross-functional teams
4. Strong programming skills in languages such as Python, Java, or C++
5. 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it 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.