Ai Research Intern

Summary

Join Stack's AI team as an intern and contribute to revolutionary autonomous vehicle technology. Work alongside world-class researchers and engineers on cutting-edge AI/CV/ML projects. Gain hands-on experience building, evaluating, and deploying ML solutions for real robotics applications. Projects will focus on areas like multi-modal semantic segmentation, real-time perception, and temporally-aware data representations. The internship offers competitive pay, sponsorship support, and opportunities for collaboration and mentorship. Internships are typically 12 weeks during the summer, but flexibility exists for spring or fall semesters.

Requirements

• Be enrolled in university, pursuing a doctorate degree and currently located in the United States
• Have a strong foundation in Computer Vision/Machine Learning
• Be able to develop, train, and validate AI/CV/ML models
• Have strong programming skills in Python or C++
• Have experience with ML frameworks such as PyTorch

Responsibilities

• Work hand-in-hand with Stack’s world-class researchers and engineers to investigate bleeding-edge problems in AI/CV/ML for autonomous vehicles
• Learn about the end to end work to build, evaluate, and deploy ML solutions for real robotics applications using multi-modal data, including critical safety systems
• Investigate novel methods for multi-modal semantic segmentation that leverage the growing corpus of labeled image data available to lift it to other sensing modalities
• Investigate novel methods to perform real-time perception tasks that are suitable for operation during fast relative vehicle motion
• Investigate temporally-aware data representations in VLMs to answer complex questions about video sequences where ordering is important (e.g: “is there a car going out of turn in a stop sign?”)
• Investigate novel methods to perform panoptic segmentation in multi-modal data sequences with fast relative vehicle motion

Preferred Qualifications

• Be a 3+ year PhD student
• Have experience with 3D computer vision, multi-modal perception, and/or point cloud processing
• Have experience in SOTA deep learning techniques, e.g. multi-modal foundational models

Benefits

• Competitive pay
• Sponsorship support