Sr Staff Engineer, Machine Learning

Uber•Seattle, WA

26d•$257,000 - $285,500

About The Position

We are looking for a Sr 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.. You will leverage your expertise in data analysis, machine learning, and Engineering to drive insights and optimize search algorithms, ultimately improving user satisfaction and operational efficiency.

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
Excellent communication skills and the ability to collaborate effectively with cross-functional teams
Strong programming skills in languages such as Python, Java, or C++

Nice To Haves

Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
Experience directly tech leading a 10+ 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.

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 the team and uphold high engineering and ML quality bar
Provide technical leadership and direction to fellow software & 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.

Benefits

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 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).

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