Machine Learning Engineer • Senior

Who you are

You have a Bachelor's or Master's in Computer Science, Statistics, or a related field, or equivalent experience. With a minimum of 5 years in the industry, you possess a strong focus on machine learning and optimization, demonstrating your ability to drive insights and tech-driven product innovations. Your expertise in data analysis and engineering allows you to optimize algorithms and systems effectively, ultimately improving user satisfaction and operational efficiency.

You are experienced in designing and developing machine learning solutions, particularly in the field of customer support engineering. Your knowledge spans generative AI algorithms, agentic AI design at scale, and NLP for query understanding and ranking responses. You are comfortable productionizing and deploying models for real-world applications, ensuring they meet the needs of millions of users.

You have a solid understanding of statistical analysis and are skilled in designing and analyzing experiments. This capability enables you to lead your team to reasonable inferences based on data. You are also adept at reviewing code and designs of teammates, providing constructive feedback that fosters a collaborative environment.

Collaboration is key for you; you thrive in cross-functional teams where brainstorming new solutions and iterating on products is part of the culture. You enjoy mentoring junior engineers, sharing your knowledge and experience to help them grow in their careers.

Desirable

Experience with ML packages and frameworks is a plus, as it enhances your ability to contribute effectively to the team. You are open to learning new technologies and methodologies that can further improve your work and the team's output.

What you'll do

In this role, you will design, develop, and productionize machine learning solutions that enhance the customer support experience for Uber Eats users. Your work will involve leveraging generative AI algorithms and NLP techniques to optimize query understanding and response ranking. You will be responsible for deploying these models in real-world applications, ensuring they are effective and efficient.

You will lead the design and analysis of experiments, using a combination of data analysis and statistical methods to derive insights that inform product innovations. Your ability to review code and designs will help maintain high standards within the team, and your constructive feedback will support your colleagues' growth.

Collaboration is essential, and you will work closely with cross-functional teams to brainstorm and iterate on new solutions. Your mentorship of junior engineers will be a key part of your role, helping to cultivate a strong team dynamic and fostering a culture of continuous learning.

What we offer

At Uber, you will be part of a mission-driven team focused on enhancing customer support through innovative technology. We offer a dynamic work environment where your contributions will have a direct impact on millions of users. You will have the opportunity to work with cutting-edge technologies and methodologies in the field of machine learning and AI.

We encourage you to apply even if your experience doesn't match every requirement. We value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive. Join us in shaping the future of customer support at Uber.