Remote job
Research Intern (PhD), Autonomy
Job details
About this role
Role overview
Contribute to research and development for autonomous vehicle systems through a summer internship with an autonomy team spanning machine learning, perception, decision-making, and controls. Interns work on research challenges that can shape deployed technology. The program is planned for at least 12 weeks in summer 2027, with possible flexibility to continue into the fall.
Responsibilities
- Develop, train, and validate AI, computer vision, or machine learning models. - Contribute to one or more research areas, such as 3D perception and tracking, mapping, prediction, decision-making, world models, or multi-stage machine learning systems. - Apply research methods to autonomy challenges and collaborate with specialists across disciplines. - Communicate work and findings effectively within a cross-functional team.
Requirements
- Current enrollment in a relevant PhD program; being at least three years into the program is preferred. - Strong programming ability in Python or C++ and experience with machine learning frameworks such as PyTorch. - A solid foundation in computer vision, machine learning, simulation, or reinforcement learning. - Ability to develop, train, and evaluate AI, computer vision, or machine learning models. - Experience with advanced deep learning methods, such as multimodal foundation models. - Ability to work and communicate collaboratively across disciplines.
Nice to have
Research publications, patents, grants, or fellowships, particularly work presented at leading computer vision, robotics, or automation conferences. Prior research or software engineering experience through an internship, employment, or widely used open-source contributions is also valued.
Benefits and work setup
Applicants must be enrolled in a doctorate program and located in the United States. The internship is remote-first; interns already in the Pittsburgh area may work in person. Competitive pay and CPT support are offered. Eligibility may depend on residence, status, or export-control requirements.