About the Role
Customer Obsession AI team's mission is to create highly efficient and magical support experiences for Uber customers by leveraging the power of data and AI. We specialize in NLP, GenerativeAI and Computer Vision. We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation systems, and reliable infrastructure for deployment scale. We are looking for candidates with deep expertise in machine learning and end-to-end experience launching large scale AI models in production.
What You'll Do
- Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs.
- Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production.
- Explore novel ideas and innovative solutions that can lead to a step change in our products.
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Basic Qualifications
- Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems.
- Coding chops, clean, elegant, bug-free code in languages like Java, GO
- Strong desire to learn and grow, while building the best-in-class systems
Preferred Qualifications
- 3+ years of professional software engineering experience in industry
- Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
- Contributed to the broader technical community through tech talks, publications, open source projects, or other ways.
- Have a proven track record working across an organization not just across teams.
- Master's degree in Computer Science or closely related field.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.
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.
Uber is proud to be an Equal Opportunity/Affirmative Action 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.
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.