Overview
On Site
USD 252,000.00 - 280,000.00 per year
Full Time
Skills
Cross-functional team
Generative Artificial Intelligence (AI)
Customer support
Computer vision
Computer science
Software engineering
Software development
Deep learning
Machine Learning (ML)
Team leadership
Artificial intelligence
Data
Natural language processing
Research
Prototyping
Evaluation
Software deployment
Policies
Leadership
Python
Java
TensorFlow
PyTorch
Caffe
IMPACT
Job Details
About the Role
About Customer Obsession AI team:
Customer Obsession AI team's mission is to transform customer support by creating 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 NLP / GenAI and end-to-end experience launching large scale AI models in production. You will work in a cross functional team to develop customer support assistants that can reason with complex support policies and resolve support issues at Uber scale.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end to end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value.
---- Basic Qualifications ----
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.
About Customer Obsession AI team:
Customer Obsession AI team's mission is to transform customer support by creating 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 NLP / GenAI and end-to-end experience launching large scale AI models in production. You will work in a cross functional team to develop customer support assistants that can reason with complex support policies and resolve support issues at Uber scale.
What the Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end to end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value.
---- Basic Qualifications ----
- PhD or equivalent in Computer Science or related field AND 4-years full-time Software Engineering work experience OR 7-years full-time Software Engineering work experience, WHICH INCLUDES 4-years total technical software engineering experience
- Software development in Python, Java or Go.
- Track record of developing and launching large scale deep learning to solve real-world problems.
- Machine Learning Software such as Tensorflow/Pytorch, Caffe.
- Experience leading teams to deliver high impact ML projects while working closely with cross functional stakeholders.
- Deep Learning
- Scalable ML architecture
- Deep knowledge of GenAI and NLP.
- Experience developing and launching GenAI products at scale.
- Research experience in GenAI / LLMs.
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.