Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Computer Vision
Research
Prototyping
Evaluation
Artificial Intelligence
Customer Support
Prompt Engineering
Data Science
Product Requirements
Computer Science
Machine Learning (ML)
Algorithms
Generative Artificial Intelligence (AI)
Natural Language Processing
Java
Job Details
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 the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs.
2. Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production.
3. Explore novel ideas and innovative solutions that can lead to a step change in our products
\\-\\-\\-\\- Basic Qualifications ----
1. Master's or PhD degree in Computer Science or closely related field.
2. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems.
3. Coding chops, clean, elegant, bug-free code in languages like Java, GO
4. Strong desire to learn and grow, while building the best-in-class systems
\\-\\-\\-\\- Preferred Qualifications ----
1. Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
2. Contributed to the broader technical community through tech talks, publications, open source projects, or other ways.
3. Have a proven track record working across an organization not just across teams.
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 [](;br>
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](;br>
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.
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 the Candidate Will Need / Bonus Points
\\-\\-\\-\\- What the Candidate Will Do ----
1. Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs.
2. Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production.
3. Explore novel ideas and innovative solutions that can lead to a step change in our products
\\-\\-\\-\\- Basic Qualifications ----
1. Master's or PhD degree in Computer Science or closely related field.
2. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems.
3. Coding chops, clean, elegant, bug-free code in languages like Java, GO
4. Strong desire to learn and grow, while building the best-in-class systems
\\-\\-\\-\\- Preferred Qualifications ----
1. Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
2. Contributed to the broader technical community through tech talks, publications, open source projects, or other ways.
3. Have a proven track record working across an organization not just across teams.
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 [](;br>
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.