Description:

Stack is focused on AI advancements across diverse technical domains, transforming how AI is applied in the physical realm.
The internship program aims to revolutionize transportation through AI, seeking interns to work on impactful research projects.
Interns will collaborate and receive mentorship from industry leaders to accelerate their career and research goals.
The internship is open to students enrolled in a doctorate program in the United States, typically lasting 12 weeks, with flexibility for spring or fall semester internships.
Interns will work with the AI Team on perception-related jobs and the necessary data platform and ML infrastructure for autonomous vehicles.
Opportunities include investigating cutting-edge problems in AI/CV/ML for autonomous vehicles and the chance to publish research work.
Project areas may include multi-modal semantic segmentation, real-time perception tasks, temporally-aware data representations in video sequences, and panoptic segmentation in multi-modal data sequences.

Requirements:

Candidates should preferably be 3+ year PhD students.
A strong foundation in Computer Vision and Machine Learning is required.
Ability to develop, train, and validate AI/CV/ML models is essential.
Experience with 3D computer vision, multi-modal perception, and/or point cloud processing is preferred.
Familiarity with state-of-the-art deep learning techniques, such as multi-modal foundational models, is necessary.
Strong programming skills in Python or C++ are required.
Experience with ML frameworks such as PyTorch is essential.

Interns will receive competitive pay for their contributions.
The internship provides opportunities for collaboration and mentorship with industry leaders.
Interns will gain hands-on experience in building, evaluating, and deploying ML solutions for real robotics applications.
There is potential for interns to publish their research work, enhancing their academic and professional profiles.