About The Position
We are looking for a highly motivated research intern with a strong background in machine learning to join our ML Perception team and apply your expertise to real-world multi agent autonomous driving and infrastructure challenges to help Glydcars see. In this role, you will focus on multimodal efficient deep learning for safety critical systems with built in redundancy and robustness. Collaborating with a multidisciplinary team, you will develop innovative models and algorithms to enhance our perception stack.
Requirements
- Masters / PhD graduating within 12 months of internship completion
- Strong programming skills (Modern C++ and/or Python)
- Familiarity with deep learning frameworks such as Pytorch
- Excellent communication and interpersonal skills;
- Strong problem-solving and research skills
Nice To Haves
- Candidates with experience in early fusion models and/or semantic segmentation models are preferred
Responsibilities
- Implement state-of-the-art onboard multimodal multitask ML perception models, and finetune them to improve performance
- Develop custom adaptations (such as layers, loss functions, etc.) to improve performance on our datasetResearch and development in various areas, including multiview sensor fusion for redundancy, robustness, and safety critical operation; and scene understanding with a focus on anomaly detection.
- Design and perform experiments, and share and present findings, potentially as a peer-reviewed publication.
- Work with multimodal (camera, lidar, radar) datasets from a multiagent autonomous system
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
