Overview
On Site
Compensation information provided in the description
Full Time
Skills
Embedded Systems
Supervision
Audiovisual
AV
Partnership
Embedded Software
Cloud Computing
Data Processing
Algorithms
Product Requirements
Collaboration
Computer Science
Data Mining
Artificial Intelligence
Publications
Computer Vision
Large Language Models (LLMs)
Prototyping
Deep Learning
Statistics
Machine Learning (ML)
Optimization
Object-Oriented Programming
C++
Java
Python
IDEA
Research
Job Details
Job Description
We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.
About the Team
The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
What You'll Do
Preferred Qualifications
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
You will also be eligible for various benefits.
We're looking for PhD candidates to intern on the Autonomous Vehicles Cloud team during summer 2026 (12 weeks). You will be embedded in our engineering team and work closely with other specialists, software developers, and product managers. As a PhD intern, you will work on an exciting yet bold problem in depth and independently, under the supervision of an experienced engineer on that team.
About the Team
The Autonomous Vehicles Cloud team is dedicated to accelerating the autonomous vehicles industry to L4 by serving as a premier AV data leader. Recently, we announced a partnership with NVIDIA to jointly develop a data factory for autonomous vehicle development. The team includes engineers with diverse backgrounds in embedded software, cloud computing, batch data processing, and ML research. We are looking for talent passionate about autonomous vehicles and eager to make a significant impact.
What You'll Do
- Drive exciting, ambitious, previously unsolved projects from end to end
- Develop novel algorithms that use Uber data at global scale
- Thrive in an environment with ambiguous product requirements
- Collaborate closely with product managers and data scientists
- Be motivated to independently own and drive projects forward
- Have a passion to make Uber better for our customers
- Currently enrolled in a Ph.D. program studying computer science, machine learning, data mining, artificial intelligence, constrained optimization, statistics, or a related quantitative field
- Candidates must have at least one semester/quarter of their education left following the internship
Preferred Qualifications
- Publications in top ML conferences such as CVPR, NeurIPS, ICCV, and ICLR
- Deep understanding in computer vision and multi-modal large language models
- Proficient in prototyping research ideas using popular deep learning frameworks
- Knowledge of underlying technical foundations of statistics, machine learning, optimization, systems, etc.
- Experience in one or more object-oriented languages, including C++, Java, Python, or Go
- Ability to communicate effectively with both technical and business partners
- Experience in simplifying/converting business problems into technical problems
- Research mentality with a bias towards action to structure a project from idea to experimentation to prototype to implementation
- Experience in the Autonomous Vehicles related research
For Sunnyvale, CA-based roles: The base hourly rate amount for this role is USD$67.00 per hour.
You will also be eligible for various benefits.
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.