About the Role
Customer Obsession AI is looking for a Software Engineer II - GenAi. The team's mission is to transform data into intelligence by leveraging and pushing the frontiers of AI, developing high quality scalable AI infrastructure, and collaborating on innovative applications to enable efficient, personalized and magical support experiences for our customers. Our specific area of expertise is in NLP and Generative AI.
We are a full-stack AI team working on LLM research, rapid model prototyping, robust evaluation systems, and reliable infrastructure for deployment scale.
What the Candidate Will Do

• Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to deploy those algorithms and create impact in production.
• Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
• Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.

Basic Qualifications
We are looking for candidates with deep expertise in NLP / GenAI and end-to-end experience launching large scale AI models in production.

• BS, MSc, or PhD in Computer Science or associated field
• Knowledge of foundational ML concepts and latest research in NLP
• Experience developing and deploying large scale ML models
• Experience working with cross-functional stakeholders

Preferred qualifications

• PhD in Computer Science and NLP
• Experience developing end-to-end GenAI products

For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 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 .
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 .
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.