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 a significant impact on the search experience for millions of Uber Eats users worldwide.
Responsibilities:
- 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.
Requirements:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
- 9+ 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:
- PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
- Experience in direct 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 the latest developments in the field of deep learning, LLM, generative AI, recommendation systems, and related fields.
- Track record of applied research is a plus.