Staff iOS Engineer

About The Role
We are looking for a highly motivated GenAI Engineer to join the Customer Obsession team. You will play a critical role in designing conversational GenAI systems and algorithms which would enhance the customer support experience and resolution speed for millions of Uber Eats users worldwide while making O(100s millions) cost savings. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, identify tech-driven product innovations, optimize algorithms and systems ultimately improving user satisfaction and operational efficiency.
What The Candidate Will Do
Design, develop, and productionize Conversational GenAI solutions in the field of customer support engineering spanning generative AI algorithms, agentic AI design at scale, NLP for query understanding and ranking responses, distillation techniques, etc.
Productionize and deploy these models for real-world applications in customer support.
Design and analyze experiments using a combination of data analysis/statistical analysis to lead the team to a reasonable inference.
Review code and designs of teammates, providing constructive feedback.
Collaborate with cross-functional teams to brainstorm new solutions and iterate on the product.
Technically lead the team, mentor and guide engineers
What The Candidate Will Need
Experience in building and owning Conversational GenAI models over multiple years, including strong understanding of product and operational metrics and what it takes to improve them.
Bachelor's or Master's in Computer Science, Statistics, or a related field or Equivalent Experience in Conversational GenAI
Minimum 10+ years of experience in industry with a strong focus on machine learning and optimization.
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
Solid understanding of statistical analysis and feature engineering techniques.
Excellent communication and collaboration skills.
Ability to work independently and take ownership of projects.
Experience using SQL in a production environment.
Experience in experimental design and analysis, exploratory data analysis, and statistical analysis.
Experience with dashboarding and using data visualization tools.
Experience using statistical methodologies such as sampling, statistical estimates, descriptive statistics, or similar.
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Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity 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.

Work arrangement
No